CN117991129A - Estimation device, program, and estimation method - Google Patents

Estimation device, program, and estimation method Download PDF

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Publication number
CN117991129A
CN117991129A CN202211363140.6A CN202211363140A CN117991129A CN 117991129 A CN117991129 A CN 117991129A CN 202211363140 A CN202211363140 A CN 202211363140A CN 117991129 A CN117991129 A CN 117991129A
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China
Prior art keywords
charging
amount
battery
processor
degradation
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CN202211363140.6A
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Chinese (zh)
Inventor
伊藤玲央
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Honda Motor Co Ltd
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Honda Motor Co Ltd
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Priority to CN202211363140.6A priority Critical patent/CN117991129A/en
Publication of CN117991129A publication Critical patent/CN117991129A/en
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Abstract

The invention provides an estimation device, a program and an estimation method capable of estimating the degradation state or the soundness of a battery by using a new method. The estimation device of the embodiment is provided with an acquisition unit and an estimation unit. The acquisition unit acquires the amount of money consumed for charging the battery provided in the mobile unit and the number of times of charging the battery. The estimating unit estimates at least one of a deterioration state and a soundness of the battery using the amount and the number of times of charging.

Description

Estimation device, program, and estimation method
Technical Field
The present invention relates to an estimation device, a program, and an estimation method.
Background
A mobile body such as an electric vehicle (ELECTRIC VEHICLE, EV) is provided with a battery. The battery is deteriorated due to repeated charging, and the soundness is deteriorated. The health of a battery is also called state of health (SOH) or the like. It is useful to know the degradation state or the soundness of the battery and to use the battery in various cases.
In addition, from the viewpoint of climate-related disasters, the use of lithium ion secondary batteries as in-vehicle applications has been studied in order to reduce carbon dioxide (CO 2) and to increase the attention of EVs.
[ Prior Art literature ]
(Patent literature)
Patent document 1: japanese patent laid-open No. 2022-068883
(Non-patent literature)
Non-patent document 1
Disclosure of Invention
[ Problem to be solved by the invention ]
An object of an embodiment of the present invention is to provide an estimation device, a program, and an estimation method that can estimate the degradation state or the soundness of a battery using a new method.
[ Means of solving the problems ]
The estimation device of the embodiment is provided with an acquisition unit and an estimation unit. The acquisition unit acquires the amount of money consumed for charging the battery provided in the mobile unit and the number of times of charging the battery. The estimating unit estimates at least one of a deterioration state and a soundness of the battery using the amount and the number of times of charging.
(Effects of the invention)
The present invention can estimate the degradation state or soundness of a battery using a new method.
Drawings
Fig. 1 is a block diagram showing an example of the configuration of an estimation system according to the embodiment and a main part of a constituent element included in the estimation system.
Fig. 2 is a flowchart showing an example of processing performed by the processor of the server apparatus in fig. 1.
Detailed Description
The estimation system according to the embodiment will be described below with reference to the drawings. For the purpose of illustration, the drawings used in the following description of the embodiments may be omitted. In the drawings and the present specification, the same reference numerals denote the same elements.
Fig. 1 is a block diagram showing an example of the configuration of an estimation system 1 and a main part of the constituent elements included in the estimation system 1 according to the embodiment. The estimation system 1 is a system that estimates a degradation state, soundness, and the like of a battery provided in a mobile body. As an example, the estimation system 1 includes a server apparatus 100, a mobile unit 200, a settlement system 300, and a terminal apparatus 400.
Server apparatus 100, mobile unit 200, settlement system 300, and terminal apparatus 400 are connected to network NW. The network NW is typically a communication network comprising the internet. The network NW is typically a communication network comprising a wide area network (wide area network, WAN). The network NW may be a communication network including a private network such as an intranet. The network NW may also be a communication network comprising a local area network (local area network, LAN). The network NW may be a wireless line, a wired line, or a combination of both. The network NW may be a communication network including a private line, a public mobile telephone network, or the like.
The server apparatus 100 is an apparatus for estimating a degradation state, soundness, and the like of a battery provided in a mobile body. As an example, the server apparatus 100 includes a processor 110, a read-only memory (ROM) 102, a random-access memory (RAM) 103, an auxiliary storage device 140, and a communication interface 150. Further, a bus 160 or the like connects these components. The server apparatus 100 is an example of an estimation apparatus.
The processor 110 is a central part of a computer that performs processing such as computation and control necessary for the operation of the server apparatus 100, and performs various computation and processing. The processor 110 is, for example, a central processing unit (central processing unit, CPU), a micro processing unit (micro processing unit, MPU), a system on a chip (SoC), a digital signal processor (DIGITAL SIGNAL processor, DSP), a graphics processing unit (graphics processing unit, GPU), an application-specific integrated circuit (ASIC), a programmable logic device (programmable logic device, PLD), a field-programmable gate array (GATE ARRAY, FPGA), or the like. Or the processor 110 is a processor in which a plurality of them are combined. The processor 110 may be a processor in which a hardware accelerator or the like is incorporated. The processor 110 controls components for realizing various functions of the server apparatus 100 according to programs such as firmware, system software, and application software stored in the ROM120, the auxiliary storage device 140, and the like. The processor 110 executes a process described later according to the program. In addition, a part or all of the program may be incorporated into the circuit of the processor 110.
ROM120 and RAM130 are the main storage devices of a computer that is centered around processor 110.
The ROM120 is a nonvolatile memory dedicated to reading of data. The ROM120 stores, for example, firmware or the like among the above programs. The ROM120 also stores data and the like used when the processor 110 performs various processes.
The RAM130 is a memory for reading and writing data. The RAM130 is used as a work area or the like for storing data temporarily used when the processor 110 performs various processes. RAM130 is typically a volatile memory.
The auxiliary storage 140 is an auxiliary storage of a computer having the processor 110 as a center. The auxiliary storage device 140 is, for example, an electrically erasable programmable read-only memory (EEPROM), a hard disk drive (HARD DISK DRIVE, HDD), a flash memory, or the like. The auxiliary storage 140 stores, for example, system software, application software, and the like among the programs described above. The auxiliary storage device 140 stores data used when the processor 110 performs various processes, data generated by the processes performed by the processor 110, various setting values, and the like.
In addition, the auxiliary storage 140 stores a moving body Database (DB) 141. The mobile DB141 stores, for each mobile 200, a settlement of the charge consumed by which account to use for charging. The moving body DB141 stores the moving body ID (identifier) in association with the account ID. The charge consumed for charging the mobile body determined by the mobile body ID is settled using an account determined by an account ID associated with the mobile body ID. The mobile body ID is identification information uniquely assigned to each mobile body 200. The mobile ID may be an ID for the estimation system 1 or a conventional ID used outside the estimation system 1. In the case where the mobile unit 200 is an automobile, the existing mobile unit ID is, for example, an automobile registration number, a vehicle number, a wireless call number (WIRELESS CALL number, WCN), an in-vehicle device management number, an electronic toll collection (electronic toll collection, ETC) card number, or the like. The account ID is identification information uniquely assigned to each account. The account ID may be an ID for the estimation system 1 or an existing ID used in a system other than the estimation system 1. The existing account ID is, for example, an account number or the like. The mobile DB141 may associate a plurality of mobile IDs with one account ID. In this case, the settlement of the charge consumed by charging is indicated by the same account for each of the mobile units 200 specified by each of the plurality of mobile unit IDs.
The mobile DB141 stores information of each mobile unit 200 in association with a mobile unit ID. The information of the mobile unit 200 includes information on the number of charges, elapsed time information, health value, and value score. The charge number information is information indicating the number of times the battery 210 included in the mobile unit 200 is charged. The number of times indicated by the charge number information is, for example, an estimated number of times. The elapsed time information is information indicating the elapsed time of the battery 210 included in the mobile unit 200 at the start of manufacturing. The soundness value is a value indicating a degradation state or soundness of the battery 210 provided in the mobile unit 200. The first value score is a value indicating the value of the battery 210 included in the mobile unit 200. For example, an initial value of the first value score is predetermined for each type (model) of the mobile body 200 or each type (model) of the battery 210. In addition, a lower limit for the first valence score may be determined. For example, a lower limit is predetermined for each type of mobile body 200 or each type of battery 210. The second valence score will be described later.
The mobile DB141 stores information of each account in association with an account ID.
The communication interface 150 is an interface for the server apparatus 100 to communicate via the network NW or the like.
The bus 160 includes a control bus, an address bus, a data bus, and the like, and transmits signals transmitted and received at each portion of the server apparatus 100.
The mobile unit 200 is, for example, an electric vehicle that travels using the battery 210 as a power source. The mobile unit 200 is, for example, an EV. The mobile unit 200 may be a plug-in hybrid vehicle (PHV) or a plug-in hybrid electric vehicle (PHEV). As an example, mobile unit 200 includes battery 210, motor 220, and in-vehicle device 230.
The moving object 200 may be a moving object other than an automobile. Examples of other moving objects other than automobiles include moving objects such as railway vehicles, airplanes, ships, and other vehicles. The mobile unit 200 is not limited to a man-machine vehicle, and may be an unmanned plane.
The battery 210 is a rechargeable secondary battery. The battery 210 is a power source for supplying electric power to each part of the mobile body 200 such as the motor 220. The battery 210 can be charged using a power source external to the mobile body 200. The power source that charges the battery 210 is, for example, a charging device of a charging station. Or the power source for charging the battery 210 may be a charging device or the like provided in a home or the like.
The motor 220 is a motor for driving each part of the moving body 200 such as a wheel. The movable body 200 may include only one motor 220, or may include a plurality of motors 220.
The in-vehicle device 230 is, for example, a computer provided in the mobile body 200. The in-vehicle device 230 is, for example, ETC (electronic toll collection) in-vehicle device, car navigation system, electronic control unit (electronic control unit, ECU), smart phone, tablet terminal, or the like.
The settlement system 300 is a system for performing electronic settlement using various settlement methods such as credit cards, debit cards, electronic money, and mobile payments. In addition, the in-vehicle device 230 may be used for the electronic settlement.
The terminal apparatus 400 is, for example, a smart phone, a tablet terminal, a PC, or the like. The terminal apparatus 400 and the in-vehicle apparatus 230 may be the same. As an example, terminal apparatus 400 includes a processor 410, a ROM420, a RAM430, a secondary storage device 440, a communication interface 450, and an output interface 460. Further, a bus 470 or the like connects these components.
The processor 410 is a central part of a computer, and performs processing such as computation and control necessary for the operation of the terminal apparatus 400, and performs various computation and processing. The processor 410 is, for example, CPU, MPU, soC, DSP, GPU, ASIC, PLD or an FPGA. Or processor 410 is a processor that combines a plurality of them. The processor 410 may be a processor in which a hardware accelerator or the like is incorporated. The processor 410 controls various components for realizing various functions of the terminal apparatus 400 according to programs such as firmware, system software, and application software stored in the ROM420, the auxiliary storage 440, and the like. The processor 410 executes a process described later according to the program. In addition, some or all of the program may be incorporated into the circuitry of the processor 410.
ROM420 and RAM430 are main storage devices of a computer whose center is processor 410.
ROM420 is a non-volatile memory that is dedicated to the reading of data. The ROM420 stores, for example, firmware or the like among the above programs. The ROM420 also stores data and the like used when the processor 410 performs various processes.
RAM430 is a memory for reading and writing data. The RAM430 is used as a work area or the like for storing data temporarily used when the processor 410 performs various processes. RAM430 is typically a volatile memory.
The auxiliary storage 440 is an auxiliary storage of a computer having the processor 410 as a center. The auxiliary storage 440 is, for example, EEPROM, HDD, flash memory, or the like. The auxiliary storage 440 stores, for example, system software, application software, and the like among the programs described above. The auxiliary storage 440 stores data used when the processor 410 performs various processes, data generated by the processes in the processor 410, various setting values, and the like.
The communication interface 450 is an interface for the terminal apparatus 400 to communicate via the network NW or the like.
The output interface 460 is an interface for notifying various information to an operator or the like of the mobile body 200. The output interface 460 notifies various information by, for example, a display screen. The display device 460 is, for example, a display such as a liquid crystal display or an organic Electroluminescence (EL) display. The output interface 460 is a speaker for notifying various information by sound. The output interface 460 notifies various information using other methods.
The bus 470 includes a control bus, an address bus, a data bus, and the like, and transmits signals transmitted and received at each part of the terminal apparatus 400.
The operation of the estimation system 1 according to the embodiment will be described below with reference to fig. 2 and the like. The following description of the operation is an example of the processing, and various kinds of processing that can obtain the same result can be appropriately used. Fig. 2 is a flowchart showing an example of processing performed by the processor 110 of the server apparatus 100. The processor 110 executes the processing of fig. 2 based on, for example, a program stored in the ROM120 or the secondary storage device 140 or the like.
A driver of the mobile body 200 or the like using the mobile body 200 (hereinafter referred to as "mobile body user") uses a charging station or the like, for example, to charge the battery 210. At this time, the mobile user pays a charge for charging using the settlement system 300, for example. The amount of the charge is determined by, for example, the charging method and the amount of electricity used in the charging. That is, the charge cost is determined by, for example, the following formula (1) or the following formula (2).
(Charging fee "money unit")
= (Amount of electricity used in charging "Wh") × (unit of charge "monetary unit/Wh") (1)
(Charging fee "money unit")
= (Amount of electricity used in charging "Wh") × (unit of charge "monetary unit/Wh") + (basic fee "monetary unit") (2)
In addition, discounts and additional fees, etc. are also possible. The charging unit price and the base charge generally differ according to the charging station. The currency unit is, for example, RMB, japanese, dollars, or the like.
The settlement system 300 generates and stores information related to a request for a charge fee (hereinafter, "information related to a request for a charge fee" will be referred to as "request information"). In addition, in the case of payment of the charge fee using the in-vehicle device 230, the in-vehicle device 230 may store the request information. In addition, in the case of paying the charge fee using the terminal apparatus 400, the terminal apparatus 400 may store the request information. The request information indicates information related to the cost consumed for one charge. The request information includes information indicating a request source for charging fee, information indicating a place where charging is performed, and the like.
The processor 110 of the server apparatus 100 performs the processing shown in fig. 2 with respect to one mobile ID, for example. The processor 110 performs the processing shown in fig. 2 for each moving body ID stored in the moving body DB141, for example. Hereinafter, the object moving body ID in fig. 2 will be referred to as "object moving body ID". Hereinafter, the moving body 200 specified by the object moving body ID is referred to as an "object moving body". In the following, the account ID associated with the target mobile body ID in the mobile body DB141 is referred to as "target account ID". In addition, the account specified by the object account ID is hereinafter referred to as "object account".
In step ST11 of fig. 2, the processor 110 of the server apparatus 100 determines whether or not to acquire the request information for the target mobile body. The processor 110 determines to acquire the request information for the target moving body, for example, when there is the request information for the target moving body that is not acquired. The request information for the target mobile body is, for example, information related to a request for the target account.
Further, the processor 110 determines whether or not each request information is a request for the target mobile object when the target account ID and the plurality of mobile object IDs are associated in the mobile object DB 141. For this purpose, the processor 110 determines whether or not each piece of request information is a request for which mobile unit, for example. The number of mobile body IDs associated with the target account ID is set to N. The N moving body IDs are set to be moving body id_1 to moving body id_n. When the capacities of the batteries are compared for each mobile ID, the mobile id_1< mobile id_2< … < mobile id_n.
The processor 110 makes a determination using (2N-1) thresholds from the threshold TH_A1 to the threshold TH_AN and from the threshold TH_B1 to the threshold TH_B (N-1). The magnitude relationship of the thresholds is threshold value th_a1< threshold value th_a2< … < threshold value th_an < threshold value th_b1< threshold value th_b2< … < threshold value th_b (N-1).
The processor 110 regards the request for the mobile body id_1 when the request amount is smaller than the threshold value th_a1. The processor 110 considers a request for the mobile body id_2 when the request amount is equal to or greater than the threshold value th_a1 and less than the threshold value th_a2. The processor 110 considers a request for the mobile body id_k when the request amount is equal to or more than the threshold value th_a (k-1) and less than the threshold value th_ak. K is an integer of 2 or more and less than N.
The processor 110 considers a request for the mobile body id_1 when the request amount is equal to or greater than the threshold value th_an and less than the threshold value th_b1. The processor 110 considers a request for the mobile id_2 when the request amount is equal to or greater than the threshold value th_b1 and less than the threshold value th_b2. The processor 110 considers a request for the mobile body id_n when the request amount is equal to or greater than the threshold value th_b (k-1).
The processor 110 may determine to acquire the request information when receiving the request information transmitted from the settlement system 300, the in-vehicle device 230, the terminal device 400, or the like. Alternatively, the processor 110 may determine to acquire the request information when receiving information indicating that the request information is transmitted from the settlement system 300, the in-vehicle device 230, the terminal device 400, or the like.
If the processor 110 determines that the request information for the target moving body is not acquired, it is determined as No in step ST11 and the flow proceeds to step ST12.
In step ST12, the processor 110 determines whether or not a predetermined period P1 has elapsed since the last charge fee was requested for the target mobile object. For example, the initial value of the period P1 is 3 days. The period P1 varies as described later. If the predetermined period P1 has not elapsed since the last charge was requested for the target mobile object, the processor 110 determines No in step ST12 and returns to step ST11. In this way, the processor 110 is in a waiting state, that is, determines that the request information is acquired for the target mobile object, or repeats steps ST11 and ST12 until a predetermined period P1 elapses from the request of the last charge fee. The period P1 is an example of a predetermined period.
If processor 110 determines that the request information is acquired while in the waiting state of step ST11 and step ST12, it determines Yes in step ST11 and proceeds to step ST13.
In step ST13, the processor 110 acquires one piece of unobtainable request information for the subject moving body. In the case where there are a plurality of pieces of request information that are not acquired for the subject mobile body, the processor 110 acquires one piece of earliest request information, for example, from the pieces of request information. The processor 110 acquires the request information from, for example, the settlement system 300, the in-vehicle device 230, the terminal device 400, or the like. The processor 110 obtains the request information, for example, via the communication interface 150 and the network NW. The request information finally acquired in step ST13 is hereinafter referred to as "acquisition information". The request information acquired in the process of step ST13 is no longer the information that is not acquired.
The processor 110 resets the value of the period P1 to an initial value.
In step ST14, the processor 110 refers to the mobile body DB141, and acquires information on the object mobile body associated with the object mobile body ID. The information includes, for example, the number of times of charging information, elapsed time information, soundness value, and value score.
The processor 110 functions as an example of an acquisition unit that acquires an amount of money consumed for charging a battery provided in the mobile unit by performing the processing of step ST13 and step ST 14.
The processor 110 functions as an example of an acquisition unit that acquires the respective amounts of money consumed by charging the battery a plurality of times by executing the processing of step ST13 a plurality of times when executing the processing of steps ST13 to ST23 a plurality of times.
In step ST15, the processor 110 determines whether or not charging has been performed with quick charge. The types of charging are, for example, both quick charging and ordinary charging. The processor 110 determines that the quick charge is performed when the charge rate is equal to or greater than a predetermined threshold value th_c. The threshold value th_c may be different depending on the type of the mobile unit 200 or the type of the battery 210. The threshold th_c may be the same as the threshold th_an. The charging unit price of the quick charge is higher than that of the ordinary charge. Therefore, it is possible to determine whether or not the quick charge is performed based on the amount of the charge fee. If the processor 110 determines that the charge is not performed by the quick charge, it is determined as No in step ST15 and proceeds to step ST16. The threshold th_c is an example of a predetermined amount.
In step ST16, the processor 110 estimates the amount of degradation (magnitude of load) caused by charging using the acquired information. The charging is charging as a request source for the acquisition information. The larger the charge indicated by the acquired information, the larger the degradation amount. The processor 110 obtains the degradation amount by using, for example, the following equation (3) or the following equation (4).
(Degradation amount) = (charge cost)/(charge unit price of ordinary charge) × (predetermined coefficient Ca 1) (3)
(Degradation amount) = ((charge cost) - (basic charge cost of ordinary charge)) × (charge unit price of ordinary charge) × (prescribed coefficient Ca 1) (4)
In addition, the charging unit price generally varies depending on the kind of charging. Here, the charge unit price of ordinary charging is used as the charge unit price.
Or the processor 110 obtains the degradation amount according to the following equation.
(Degradation amount) = (conversion of the number of charging) × (predetermined coefficient Ca 2) (5)
(Converted charging number) = (charging fee)/(charging fee consumed from zero remaining amount charging to full charging) (6)
The converted charge number indicates how many times the charge as the request source for acquiring information corresponds to the charge number from zero remaining amount to full charge.
The processor 110 obtains the charge fee consumed from zero remaining charge to full charge, for example, according to the following equation.
(Charge cost consumed from zero remaining charge to full charge) = (capacity of battery 210)/(charge unit price of ordinary charge) × (predetermined coefficient Ccl) (7)
The value of the capacity of the battery 210 may be fixed or may vary depending on the number of charges. The processor 110 acquires the number of charges by referring to the number of charges information associated with the object moving body ID. In addition, how the capacity of the battery 210 changes according to the number of charging times is determined by a table or the like, for example. The table correlates the number of charges to the capacity of the battery. The processor 110 uses the number of charges of the battery 210 and the table to find the capacity of the battery 210.
The processor 110 determines at least one of whether the place where charging is performed is a predetermined place, whether the operation subject of the place where charging is performed is a predetermined operation subject, and whether the management subject that manages the place where charging is performed is a predetermined management subject. For example, a predetermined place, a place operated by a predetermined operation subject, and a place managed by a predetermined management subject indicate that the place is a charging station or the like in which the charging equipment satisfies a predetermined requirement. The processor 110 makes this determination using, for example, a database or the like in which information about each charging station is stored. The processor 110 determines a place where charging is performed, a management entity, and an operation entity, for example, using the request information. The processor 110 determines at least one of the place where charging is performed, the management entity, and the operation entity, for example, using at least one of information indicating the place where charging is performed and information indicating the source of the request. In addition, the management entity and the operation entity may be the same. The management entity and the operation entity are, for example, companies or exclusive enterprises.
The predetermined operator and the predetermined manager are examples of predetermined personnel.
When at least one of the place where charging is performed is a predetermined place, the operation subject of the place where charging is performed is a predetermined operation subject, and the management subject that manages the place where charging is performed is a predetermined management subject, the processor 110 uses the coefficient Ca11 as the coefficient Ca1. In contrast, when the place where charging is performed is not a predetermined place, and the operation subject of the place where charging is performed is not a predetermined operation subject, and the management subject that manages the place where charging is performed is not any predetermined management subject, the processor 110 uses the coefficient Ca12 as the coefficient Ca1. The coefficients Ca11 and Ca12 are one of the coefficients Ca1. The magnitude relationship between the coefficient Ca11 and the coefficient Ca12 is Ca11< Ca12. Therefore, when at least one of the place where charging is performed is a predetermined place, the operation subject of the place where charging is performed is a predetermined operation subject, and the management subject that manages the place where charging is performed is a predetermined management subject, the degradation amount becomes small.
The processor 110 may calculate the degradation index. The processor 110 sets the degradation index to "medium" when the converted number of charges is equal to or greater than the predetermined threshold th_d. The processor 110 sets the degradation index to "low" in the case where the converted number of charging times is smaller than the predetermined threshold value th_d. The processor 110 may set the degradation index to "medium" when the place where the charging is performed is not a predetermined place, and the operation subject of the place where the charging is performed is not a predetermined operation subject, and the management subject that manages the place where the charging is performed is not a predetermined management subject. As an example, the threshold th_d is 0.6.
In addition, the processor 110 acquires the charging unit price and the basic charge of the ordinary charging in the case where the charging unit price and the basic charge at the time of charging can be acquired. The processor 110 obtains the degradation amount from the equation (3) or the equation (4) using the obtained charging unit price and the obtained basic charge. The processor 110 acquires the charge unit price and the basic charge from the acquired information, for example. The processor 110 acquires the charge unit price and the basic charge from, for example, a database or the like in which the charge unit price and the basic charge of each charging station are stored. If the charging unit price and the basic charge at the time of charging cannot be obtained, the processor 110 obtains the degradation amount from the equation (3) or the equation (4) using the predetermined charging unit price and basic charge.
On the other hand, if the processor 110 determines that the charge is being performed by the quick charge, it is determined Yes in step ST15 and proceeds to step ST17.
In step ST17, the processor 110 estimates the amount of degradation (magnitude of load) caused by charging using the acquired information. The charging is charging as a request source for the acquisition information. The larger the charge indicated by the acquired information, the larger the degradation amount. The processor 110 obtains the degradation amount by using, for example, the following equation (8) or the following equation (9).
(Degradation amount) = (charge cost)/(charge unit price for quick charge) × (predetermined coefficient Ca 3) (8)
(Degradation amount) = ((charge cost) - (basic cost))/(charge unit price for quick charge) × (prescribed coefficient Ca 3) (9)
In addition, here, the charge unit price of the quick charge is used as the charge unit price.
Or the processor 110 obtains the degradation amount according to the following equation.
(Degradation amount) = (converted charge number) × (predetermined coefficient Ca 4) (10)
(Converted charging number) = (charging cost)/(charging cost consumed from zero remaining amount charging to full charging) (11)
The processor 110 obtains the charge fee consumed from zero remaining charge to full charge, for example, according to the following equation.
(Charge fee consumed from zero remaining charge to full charge) = (capacity of battery 210)/(charge unit price of quick charge) × (predetermined coefficient Cc 2) (12)
The processor 110 may calculate the degradation index. In step ST17, the degradation index is "high".
The processor 110 determines at least one of whether the place where charging is performed is a predetermined place, whether the operation subject of the place where charging is performed is a predetermined operation subject, and whether the management subject that manages the place where charging is performed is a predetermined management subject. The predetermined location, the predetermined operation subject, and the predetermined management subject indicate that the charging device is a charging station that satisfies a predetermined requirement, for example. The processor 110 makes this determination using, for example, a database or the like in which information about each charging station is stored.
When at least one of the place where charging is performed is a predetermined place, the operation subject of the place where charging is performed is a predetermined operation subject, and the management subject that manages the place where charging is performed is a predetermined management subject, the processor 110 uses the coefficient Ca31 as the coefficient Ca3. In contrast, when the place where charging is performed is not a predetermined place, and the operation subject of the place where charging is performed is not a predetermined operation subject, and the management subject that manages the place where charging is performed is not any predetermined management subject, the processor 110 uses the coefficient Ca32 as the coefficient Ca3. The coefficients Ca31 and Ca32 are one of the coefficients Ca3. The magnitude relationship between the coefficient Ca31 and the coefficient Ca32 is Ca31< Ca32. Therefore, when at least one of the place where charging is performed is a predetermined place, the operation subject of the place where charging is performed is a predetermined operation subject, and the management subject that manages the place where charging is performed is a predetermined management subject, the degradation amount becomes small.
In addition, the processor 110 acquires the charge unit price and the basic charge of the quick charge in the case where the charge unit price and the basic charge at the time of charging can be acquired. The processor 110 obtains the degradation amount from the equation (8) or (9) using the obtained charging unit price and the obtained basic charge. The processor 110 acquires the charge unit price and the basic charge from the acquired information, for example. The processor 110 acquires the charge unit price and the basic charge from, for example, a database or the like in which the charge unit price and the basic charge of each charging station are stored. If the charging unit price and the basic charge at the time of charging cannot be obtained, the processor 110 obtains the degradation amount from the equation (8) or the equation (9) using the predetermined charging unit price and basic charge.
In addition, the relation between the sizes of the coefficient Ca1 and the coefficient Ca3 is Ca3 not less than Ca1. Preferably Ca3> Cal. That is, the degradation amount of the quick charge is equal to or more than the degradation amount of the ordinary charge.
The processor 110 functions as an example of an estimating unit that calculates a small degradation amount when the place to be charged is a predetermined place in step ST16 or step ST17, and thereby estimates the small degradation amount when the place to be charged is a predetermined place, as compared with the case of charging at other places than the predetermined place.
In addition, the processor 110 functions as an example of an estimating unit that calculates a small degradation amount when the operation subject of the place where charging is performed is at least one of a predetermined operation subject and a predetermined management subject that manages the place where charging is performed in step ST16 or step ST17, and thereby estimates the small degradation amount when the place where charging is performed is a predetermined place as compared with the case where charging is performed in other places than the predetermined place.
Further, the processor 110 performs the processing from step ST15 to step ST17, and thereby, when the amount consumed by charging is equal to or greater than the predetermined amount, the amount of degradation estimated to be a unit amount is larger than when the amount consumed by charging is smaller than the predetermined amount.
After the processing in step ST16 or step ST17, the processor 110 proceeds to step ST18.
In step ST18, the processor 110 calculates the degradation state or the soundness of the battery 210 included in the target mobile body using the degradation amount calculated in step ST 16. That is, the processor 110 adds the value of the degradation amount calculated in step ST16 to the value of the soundness value associated with the target moving body ID, for example. The processor 110 rewrites the moving body DB141 for the process of adding the values. The initial value of the robustness value is, for example, 0. The robustness value here means that the higher the value, the worse the degradation state, and the lower the value, the better the robustness.
In step ST19, the processor 110 rewrites the charge number information associated with the object mobile body ID, and increases the charge number by the converted charge number amount obtained in step ST 16. The charge number information to be rewritten is charge number information in the mobile body DB 141. Alternatively, the processor 110 may rewrite the charge number information to increase the charge number by 1.
The processor 110 may calculate the degradation state or the soundness of the battery 210 of the target mobile body using the degradation index obtained in step ST 16. The processor 110 subtracts a value corresponding to the degradation index obtained in step ST16 from, for example, a value of the soundness value associated with the target moving body ID. The processor 110 rewrites the moving body DB141 for the process of subtracting the values. The processor 110 subtracts the value V11 in the case where the degradation index is low. The processor 110 subtracts the value V12 in the case where the degradation index is medium. The processor 110 subtracts the value V13 in the case where the degradation index is high. The magnitude relation between the values V11 to V13 is VI1< V12< V13.
As described above, the processor 110 functions as an example of an estimating unit that estimates at least one of the degradation state and the soundness of the battery using the amount of charge consumed and the number of times of charge by performing the processing from step ST15 to step ST 18.
The processor 110 functions as an example of an estimating unit that estimates at least one of the degradation state and the soundness of the battery by accumulating the degradation amounts estimated using each of the plurality of amounts by executing the processing of step ST18 a plurality of times when executing the processing of steps ST13 to ST23 a plurality of times.
In step ST20, the processor 110 determines whether or not the charging as the request source for acquiring information is performed using electric power from natural energy. For example, when the request information includes information indicating that the electric power using natural energy as a source is used, the processor 110 determines that the charging is performed using the electric power using natural energy as a source. For example, when the charged charging stations store the electric power from which natural energy is used in the database, referring to the database or the like storing the information of each charging station, the processor 110 determines to charge the electric power from which natural energy is used. For example, when the charging is performed for a specific period of time, the processor 110 determines that the charging is performed using electric power from natural energy. For example, when the charging unit price is a predetermined amount of money, the processor 110 determines that the charging is performed using electric power from natural energy. If the processor 110 determines that the charging is not performed using electric power from natural energy, it is determined as No in step ST20 and the flow proceeds to step ST21.
In step ST21, the processor 110 estimates the value of the battery 210 provided in the target mobile body. The processor 110 obtains a bid amount defect amount according to the following expression, for example, using the degradation amount obtained in step ST 16.
(Value defect amount) = (degradation amount) × (predetermined coefficient Cbl) (13)
The processor 110 then subtracts the value of the defect amount from the value of the first value score associated with the subject mobile body ID. The processor 110 rewrites the moving body DB141 for the process of subtracting the value. Thus, the processor 110 estimates the value of the battery 210 provided in the subject mobile body.
The processor 110 may estimate the value of the battery 210 included in the target mobile body using the degradation index obtained in step ST 16. The processor 110 subtracts a value corresponding to the degradation index obtained in step ST16 from, for example, a value of the first value score associated with the subject mobile body ID. The processor 110 rewrites the moving body DB141 for the process of subtracting the values. The processor 110 subtracts the value V21 in the case where the degradation index is low. The processor 110 subtracts the value V22 in the case where the degradation index is medium. The processor 110 subtracts the value V23 in the case where the degradation index is high. The magnitude relation between the values V21 to V23 is V21< V22< V23.
Further, the processor 110 obtains a second value score according to the following equation. The second value score is a value indicating the value of the battery 210 included in the mobile unit 200. The second value score is a score that adds an effect of the aged deterioration of the battery 210 to the first value score.
(Second value score) = (first value score) - (aged deterioration value) (14)
Here, the chronological degradation value is a value determined from the time indicated by the elapsed time information associated with the target mobile body ID. For example, a predetermined table, a predetermined function, or the like is used to determine the chronological degradation value from the time. A prescribed table or a prescribed function is determined for each type of mobile body 200 or each type of battery 210.
On the other hand, if the processor 110 determines that the charging is performed using electric power from natural energy, it is determined Yes in step ST20 and the flow proceeds to step ST22.
In step ST22, the processor 110 estimates the value of the battery 210 provided in the target mobile body. The processor 110 obtains a bid amount defect amount according to the following expression, for example, using the degradation amount obtained in step ST 16.
(Value defective amount) = (degradation amount) × (predetermined coefficient Cb 2) (15)
The processor 110 then subtracts the value of the defect amount from the value of the first value score associated with the subject mobile body ID. The processor 110 rewrites the moving body DB141 for the process of subtracting the value. Thus, the processor 110 estimates the value of the battery 210 provided in the subject mobile body.
The predetermined coefficient Cb1 and the predetermined coefficient Cb2 have a magnitude relationship of Cb1> Cb2. That is, the processor 110 estimates a small amount of value loss when charging using electric power from natural energy. In other words, the first value of the power charged by the processor 110 using the power from the natural energy becomes higher than the first value of the power charged by the processor without using the power from the natural energy. In addition, the processor 110 may use other formulas so that the first value of the electric power charged by the natural energy becomes higher than the case of not charging by the electric power from the natural energy.
The processor 110 may estimate the value of the battery 210 included in the target mobile body using the degradation index obtained in step ST 16. The processor 110 subtracts a value corresponding to the degradation index obtained in step ST16 from, for example, a value of the first value score associated with the subject mobile body ID. The processor 110 rewrites the moving body DB141 for the process of subtracting the values. The processor 110 subtracts the value V21 in the case where the degradation index is low. The processor 110 subtracts the value V22 in the case where the degradation index is medium. The processor 110 subtracts the value V23 in the case where the degradation index is high. Further, the processor 110 adds the value V24 on the basis of the value of the first value score. The value V24 is added to increase the first value score when charging with electric power derived from natural energy.
Further, the processor 110 obtains a second value score according to equation (14).
As described above, the processor 110 functions as an example of an estimating unit that estimates the value of the battery based on at least either one of the degradation state and the soundness by performing the processing of step ST21 or step ST 22.
The processor 110 functions as an example of an estimating unit that determines that the charging is performed using the electric power from the natural energy based on at least one of the request and the settlement of the amount of money consumed by the charging by performing the processing of step ST20 to step ST22, and sets the value of the battery to a higher amount than when it is determined that the charging is performed using the electric power from the natural energy.
After the processing in step ST21 or step ST22, the processor 110 proceeds to step ST23.
In step ST23, the processor 110 executes notification processing. The notification process is a process of notifying the degradation state or soundness obtained in step ST18 and the first value score obtained in step ST21 or step ST 22. The notification destination of the notification process is, for example, the terminal apparatus 400 used by the mobile user.
The processor 110 generates a notification request. The notification request is information requesting notification. The notification request includes, for example, the degradation state or soundness obtained in step ST18, and the first value score obtained in step ST21 or step ST 22. After generating the notification request, the processor 110 instructs the communication interface 150 to transmit the notification request to the terminal apparatus 400. Upon receiving the transmission instruction, the communication interface 150 transmits the notification request to the terminal apparatus 400. The transmitted notification request is received by the communication interface 450 of the terminal apparatus 400. After the processing of step ST23, the processor 110 returns to step ST11.
On the other hand, the processor 410 of the terminal apparatus 400 waits for reception of the notification request using the communication interface 450. Upon receiving the notification request, the processor 410 notifies the operator or the like of the terminal apparatus 400 of the degradation state or soundness, the first value, and the like included in the notification request. The operator of the terminal apparatus 400 is, for example, a mobile user. The processor 410 uses, for example, the output interface 460 to notify.
On the other hand, when the processor 110 is in the waiting state of step ST11 and step ST12, if the predetermined period P1 has elapsed since the last charge fee request for the target mobile object, the process proceeds to step ST24 after determining Yes in step ST 12.
In step ST24, the processor 110 calculates the degradation state or soundness of the battery 210 of the target mobile body. That is, the processor 110 adds a predetermined degradation amount D1 to the value of the soundness value associated with the target moving body ID, for example. The processor 110 rewrites the moving object DB141 in the process of adding the degradation amount D1. The degradation amount D1 is an example of degradation of a predetermined amount.
The processor 110 extends the period P1 by a predetermined period P2. For example, the period P2 is 1 day. By extending the period P1 by the predetermined period P2 as described above, the processor 110 determines Yes in step ST12 for each period P2 after the initial value of the period P1 has elapsed. That is, the processor 110 executes the processing from step ST24 to step ST27 after the lapse of the period P1, and then executes the processing from step ST22 to step ST27 every time the period P2 has elapsed.
As described above, the processor 110 functions as an example of the estimating unit that estimates that the battery has deteriorated by a predetermined amount when at least one of the request and settlement of the charge expense has not occurred for a predetermined period of time by performing the processing of step ST12 and step ST 24.
In step ST25, the processor 110 rewrites the charge number information associated with the object mobile body ID, and increases the charge number by a predetermined number of times. The charge number information to be rewritten is charge number information in the mobile body DB 141.
In step ST26, the processor 110 estimates the value of the battery 210 provided in the target mobile body. The processor 110 obtains a bid amount defect amount according to the following expression, for example, using the degradation amount D1. The coefficient Cb3 is, for example, the same value as the coefficient Cb 1.
(Value defective amount) = (degradation amount D1) × (predetermined coefficient Cb 3) (16)
The processor 110 then subtracts the value of the defect amount from the value of the first value score associated with the subject mobile body ID. The processor 110 rewrites the moving body DB141 for the process of subtracting the value.
In step ST27, the processor 110 performs notification processing. The notification process is a process of notifying the degradation state or soundness obtained in step ST24 and the first value score obtained in step ST 25. The other steps are the same as those in step ST 23. After the processing of step ST27, the processor 110 returns to step ST11.
According to the estimation system 1 of the embodiment, the server apparatus 100 obtains the amount of the charge consumed for charging the battery provided in the mobile body 200 and the number of times of charging the battery. The server device 100 according to the embodiment uses the amount and the number of times of charging to estimate the degradation state or the soundness of the battery 210. In this way, the server apparatus 100 of the embodiment can estimate the degradation state or the soundness of the battery 210 by using the new method. In addition, if the server apparatus 100 of the embodiment can acquire the charged amount, the degradation state or soundness of the battery 210 can be estimated, and therefore, even when the server apparatus 100 cannot acquire information necessary for the existing estimation method, the degradation state or soundness of the battery 210 can be estimated.
Further, according to the estimation system 1 of the embodiment, the server device 100 obtains the respective degradation amounts using the amounts consumed each of the plurality of charges. The server device 100 according to the embodiment calculates the robustness value by accumulating the calculated degradation amount. Thus, the server device 100 according to the embodiment can estimate the degradation state or the soundness of the battery 210.
In addition, according to the estimation system 1 of the embodiment, the server apparatus 100 uses the soundness value of the battery 210 to estimate the first value score representing the value of the battery 210. In this way, the server apparatus 100 of the embodiment can estimate the value of the battery 210. Further, by using the first value score, the amount can be easily estimated when selling or replacing the mobile body 200 or the battery 210 with old one.
In addition, according to the estimation system 1 of the embodiment, in the case where the battery 210 is charged at a predetermined place, the server apparatus 100 estimates a smaller degradation amount than in the case where the battery 210 is charged at a place other than the predetermined place. In this way, the server apparatus 100 according to the embodiment can estimate a large degradation amount when the battery 210 may be charged by a charging device that does not satisfy a predetermined requirement or a charging device that is not suitable for the battery 210. Therefore, the server apparatus 100 of the embodiment is considered to be able to estimate the degradation amount more accurately.
In addition, according to the estimation system 1 of the embodiment, in the case of charging the battery 210 by the quick charge, the server apparatus 100 estimates a larger degradation amount than in the case of charging the battery 210 by the ordinary charge. Thus, the server apparatus 100 according to the embodiment can estimate the degradation amount more accurately.
Further, according to the estimation system 1 of the embodiment, the server device 100 is regarded as having deteriorated by a predetermined amount when the predetermined period P1 has elapsed since the last charge was requested. When a predetermined period of time has elapsed since the last charge fee was requested, charging of the battery 210 may be performed using a charging device or the like in the home without using a charging station. The server device 100 according to the embodiment can estimate degradation of the battery 210 due to charging performed by the user or the like by assuming that a predetermined amount of degradation has occurred.
Further, according to the estimation system 1 of the embodiment, when the battery 210 is charged with electric power derived from natural energy, the server apparatus 100 calculates a high first value score. Therefore, when the battery 210 is charged using electric power derived from natural energy, the estimated amount of money when the mobile body 200 or the battery 210 is sold or replaced with old one becomes high. Thus, the server device 100 according to the embodiment can promote the use of natural energy.
In addition, according to the estimation system 1 of the embodiment, when the charge fees of the plurality of mobile units 200 are settled in one account, the server apparatus 100 determines which mobile unit 200 is charged based on the amount of charge. Since the capacity of the battery 210 varies depending on the mobile unit 200, it is considered that the determination can be made based on the amount of money. Thus, even when the charge fees of the plurality of mobile units 200 are settled in one account, the server apparatus 100 of the embodiment can estimate the degradation state or the soundness of the battery 210 of each mobile unit 200.
The above embodiment may be modified as follows.
The estimation system 1 of the above embodiment uses the request information. However, the estimation system 1 of the embodiment may use information or the like related to settlement of the charge fee instead of the settlement information. Or the estimation system 1 of the embodiment may use other information that knows the information about the charge fee.
The processor 110 and the processor 410 may be implemented by a hardware configuration of a circuit, and a part or all of the processing implemented by a program in the above-described embodiment may be implemented.
The program for realizing the processing of the embodiment is transferred in a state stored in a non-transitory storage medium in the device, for example. However, the apparatus may be transferred without storing the program. Further, the program may be transferred and written in the apparatus. The transfer of the program at this time may be realized by, for example, recording the program on a non-transitory storage medium in a removable manner, or downloading the program via a network such as the internet or a LAN.
The embodiments of the present invention have been described above, but this is merely an example, and does not limit the scope of the present invention. The embodiments of the present invention can be implemented in various ways within a scope not departing from the gist of the present invention.
Reference numerals
1 Estimation system
100 Server device
110, 410 Processor
120,420ROM
130,430RAM
140, 440 Auxiliary storage device
141 Moving body DB
150, 450 Communication interface
160, 470 Bus
200 Moving body
210 Battery
220 Motor
230 Vehicle-mounted device
300 Settlement system
400 Terminal device
460 Output interface

Claims (11)

1. An estimation device is provided with:
An acquisition unit that acquires an amount of money consumed for charging a battery provided in a mobile unit and the number of times of charging the battery; the method comprises the steps of,
An estimating unit that estimates at least one of a degradation state and a soundness of the battery using the amount and the number of times of charging.
2. The estimating apparatus according to claim 1, wherein the acquiring section acquires the respective amounts of money consumed for each of a plurality of times of charging the battery,
The estimating unit estimates at least one of the degradation state and the soundness of the battery by accumulating the degradation amounts estimated using the respective amounts.
3. The estimation device according to claim 1, wherein the estimation unit estimates the value of the battery based on at least one of the degradation state and the soundness.
4. The estimation device according to claim 2, wherein the estimation unit estimates the degradation amount to be smaller when the place where the charging is performed is a predetermined place than when the charging is performed at a place other than the predetermined place.
5. The estimation apparatus according to claim 2, wherein the estimation unit estimates the degradation amount to be smaller in a case where a person who is responsible for at least any one of the operation and the management of the place where the charging is performed is a predetermined person than in a case where the charging is performed at a place other than the place where at least any one of the operation and the management is performed by the predetermined person.
6. The estimation device according to claim 2, wherein the estimation unit estimates that the degradation amount per unit amount is larger when the amount is equal to or greater than a predetermined amount than when the amount is smaller than the predetermined amount.
7. The estimating device according to claim 1, wherein the estimating unit estimates that the battery has deteriorated by a predetermined amount when at least one of a request and settlement of the charge consumed by the charging has not occurred for more than a predetermined period.
8. The estimating device according to claim 3, wherein the estimating unit determines that the charging is performed using electric power from natural energy based on at least one of the request and the settlement of the amount of money, and sets the value to a higher amount of money when the charging is determined to be performed using electric power from natural energy than when the charging is determined not to be performed using electric power from natural energy.
9. The estimating apparatus according to claim 1, wherein when the amounts of the plurality of mobile units are settled using the same account, the estimating unit estimates which of the batteries of the mobile units is charged based on the amounts, and estimates at least one of the degradation state and the soundness of the battery for each of the mobile units.
10. A program for causing a processor provided with an estimation device to function as:
An acquisition unit that acquires an amount of money consumed for charging a battery provided in a mobile unit and the number of times of charging the battery; the method comprises the steps of,
An estimating unit that estimates at least one of a degradation state and a soundness of the battery using the amount and the number of times of charging.
11. An estimation method obtains an amount of money consumed for charging a battery provided in a mobile unit and the number of times of charging the battery;
at least one of a deterioration state and a soundness of the battery is estimated using the amount and the number of times of charging.
CN202211363140.6A 2022-11-02 2022-11-02 Estimation device, program, and estimation method Pending CN117991129A (en)

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CN202211363140.6A CN117991129A (en) 2022-11-02 2022-11-02 Estimation device, program, and estimation method

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Application Number Priority Date Filing Date Title
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Publications (1)

Publication Number Publication Date
CN117991129A true CN117991129A (en) 2024-05-07

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Country Link
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