CN112198441A - Method and system for estimating remaining time of battery charging - Google Patents
Method and system for estimating remaining time of battery charging Download PDFInfo
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Abstract
The embodiment of the invention provides a method for estimating the remaining time of battery charging, which is applied to a battery management system, wherein the battery management system stores an initial data table for estimating the battery charging time, and the method comprises the following steps: estimating charging time data of the battery according to the stored initial data table, and sending the charging time data, parameter information which is collected under different environments and influences the charging time of the battery and actual charging state information of the battery to a background server; receiving a new data table sent by the background server, wherein the new data table is established by updating an initial data table by the background server according to the charging time data, the parameter information and the actual charging state information; replacing the stored initial data table with a new data table; and estimating the residual battery charging time according to the new data table and the current parameter information. The method can effectively improve the estimation accuracy and reduce the operation load of the battery management system.
Description
Technical Field
The invention relates to the technical field of electric vehicle charging, in particular to a battery charging remaining time estimation method and a battery charging remaining time estimation system.
Background
With the enhancement of low-carbon environmental awareness of the public, electric vehicles are developing vigorously. Electric vehicles usually adopt a public charging pile to charge, and how to accurately acquire the idle time of the public charging pile and how to reasonably distribute and dispatch the public charging pile are the problems facing at present. The charging remaining time of the charging vehicle is accurately estimated, the charging waiting time of the vehicle owner can be shortened, and the resource of the charging pile can be conveniently arranged and scheduled in advance.
The method for calculating the charging remaining time in the prior art includes the following two methods: one method is to divide the remaining uncharged charge by the current real-time current, i.e. (full charge SOC-current SOC) × nominal capacity of the cell/current real-time current, to obtain the charge remaining time. The other method is to perform sectional processing on the charging process, accumulate and calculate the charging time of each stage to obtain the overall charging time, and subtract the current charging time from the overall charging time to obtain the residual charging time. The formula for calculating the overall charge time is: the remaining charge time is the time of charge phase 1 + the time of charge phase 2 +. + the time of charge phase N, where charge phase N is a custom phase division within the algorithm, and the value of N is determined by the algorithm. The calculation parameters used by the two methods are fixed, so that the individual difference cannot be solved, the estimation result has large fluctuation and frequent fluctuation, and the deviation of the estimated final result is large. The whole process of estimating the remaining charging time is completed by a Battery Management System (BMS) of the electric vehicle, and since the BMS needs to collect and process a large amount of other data and has limited calculation capability, it is impossible to achieve compatibility between the estimation accuracy and the data calculation amount, and it is impossible to accurately calculate the remaining charging time of the vehicle Battery.
Disclosure of Invention
An object of an embodiment of the present invention is to provide a method and a system for estimating remaining battery charging time, so as to accurately calculate the remaining battery charging time.
In order to achieve the above object, a first aspect of the present invention provides a battery remaining charge time estimation method applied to a battery management system storing an initial data table for estimating a battery charge time, the method comprising:
s1) estimating the charging time data of the battery according to the stored initial data table, and sending the charging time data, the parameter information which is collected under different environments and influences the charging time of the battery and the actual charging state information of the battery to a background server, wherein the initial data table is stored in the background server;
s2) receiving a new data table sent by the background server, wherein the new data table is established by the background server updating the initial data table according to the received charging time data, the parameter information and the actual charging state information;
s3) replacing the stored initial data table with the new data table;
s4) estimating the remaining battery charge time based on the new data table and the current parameter information affecting the battery charge time.
Further, the background server sends the new data table under the condition that the error between the received charging time data and the charging time data corresponding to the new data table exceeds a preset error range.
Further, the parameter information affecting the battery charging time includes: an initial cell temperature and an initial cell voltage of the battery.
Further, the new data table includes: a charging current mapping table, a charging time comparison table and a battery heating time table.
Further, the charging time data includes: heating time corresponding to different initial cell temperatures, and charging time corresponding to different cell temperature intervals and different cell voltage intervals.
Further, step S4) of estimating the remaining battery charging time according to the new data table and the current parameter information affecting the battery charging time includes:
s41) acquiring the cell temperature and the cell voltage of the battery in real time;
s42) obtaining the charging accumulated time of each charging stage according to the cell temperature, the cell voltage, the charging current mapping table and the charging time comparison table;
s43) estimating the time of the battery reaching the full charge state according to the charge accumulated time of each charging stage;
s44) calculating an accumulated charged time according to the current charging current and the current SOC value, and subtracting the accumulated charged time from the time to reach the full charge state to obtain the battery charging remaining time.
Further, step S41) collects the cell temperature and the cell voltage of the battery in real time, and further includes:
and judging whether the battery needs to be heated according to the initial cell temperature of the battery, and if so, determining the heating time of the battery according to the battery heating time table.
Further, step S42) obtaining the charging accumulated time of each charging stage according to the cell temperature, the cell voltage, the charging current mapping table, and the charging time mapping table, including:
determining maximum charging currents corresponding to different cell temperature intervals and different cell voltage intervals in each charging stage according to the charging current mapping table and the cell temperature and the cell voltage acquired in real time;
and determining the charging time required by charging by adopting the corresponding maximum charging current in each charging stage according to the charging time comparison table.
Further, the time to reach the full charge state in step S43) includes: the charging accumulated time of each charging stage, the battery heating time and the cut-off charging time, wherein the cut-off charging time is the charging maintaining time when the cell voltage approaches the full charging voltage in the charging process.
A second aspect of the present invention provides a battery charge remaining time estimation system, the system comprising:
the battery management system is used for estimating charging time data of the battery according to a stored initial data table for estimating the charging time of the battery, acquiring parameter information influencing the charging time of the battery and actual charging state information of the battery under different environments, and sending the charging time data, the parameter information and the actual charging state information to the background server;
the background server is used for updating the stored initial data table used for estimating the battery charging time according to the received charging time data, the parameter information and the actual charging state information so as to establish a new data table, and sending the new data table to the battery management system;
the battery management system is also used for replacing the stored initial data table with the new data table, and estimating the battery charging remaining time according to the new data table and the current parameter information influencing the battery charging time.
Further, the system further comprises:
and the communication device is in communication connection with the battery management system and the background server and is used for transmitting the charging time data, the parameter information and the actual charging state information which are sent to the battery management system to the background server and transmitting the new data table which is sent from the background server to the battery management system.
Further, the background server is configured to send the new data table on the condition that an error between the received charging time data and the charging time data corresponding to the new data table exceeds a preset error range.
According to the embodiment of the invention, parameter information influencing the charging time of the battery and actual charging state information are counted and analyzed through the background server, and relevant charging parameters are optimized and updated. The background server obtains a more complete and accurate new data table for estimating the battery charging time through statistical analysis on the big data, and sends the new data table to the battery management system BMS, the battery management system BMS estimates the battery charging remaining time according to the new data table, and the estimation accuracy is effectively improved through the big data of the background server. Accurate charging estimated time is provided in the charging process of the electric vehicle, so that resources of the charging pile can be reasonably arranged, and the use efficiency of the charging pile is improved; make things convenient for the car owner to rationally arrange the time of getting the car, reduce the latency at the scene of charging.
On the other hand, statistics and arrangement of battery charging related parameter data are processed by a background server with stronger computing capability, and the battery management system BMS estimates the charging remaining time according to the actual charging condition by using the parameter data processed by the background server, so that the data computing amount and the data storage amount of the BMS are reduced, and the computing load of the BMS is effectively reduced.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
FIG. 1 is a flow chart of a method for estimating a remaining battery charge time according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a method for estimating a remaining battery charging time according to an embodiment of the present invention;
fig. 3 is a block diagram of a system for estimating a remaining battery charge time according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.
Fig. 1 is a flowchart of a method for estimating a remaining battery charge time according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a method for estimating a remaining battery charging time, which is applied to a battery management system, where the battery management system stores an initial data table for estimating a battery charging time, and the method includes:
s1) estimating the charging time data of the battery according to the stored initial data table, and sending the charging time data, the parameter information which is collected under different environments and influences the charging time of the battery and the actual charging state information of the battery to a background server, wherein the initial data table is stored in the background server.
The initial data table in the battery management system is the same as the initial data table in the background server. In each charging process, the battery management system estimates charging time according to battery parameters and an initial data table in the current environment and sends the charging time data to the background server.
And the background server sends the new data table under the condition that the error between the received charging time data and the charging time data corresponding to the new data table exceeds a preset error range.
The parameter information influencing the charging time of the battery comprises the initial cell temperature and the initial cell voltage of the battery and the maximum allowable current of a charger. In this embodiment, the battery management systems BMS of the different vehicles in the different environments communicate with the background server, and the different battery management systems BMS send the initial cell temperature, the initial cell voltage, and the actual charging state information of the different environments in the different environments to the background server.
The actual charge state information includes a battery heating time, a charging time at each stage in the charging process, an off-charging time, and an actual full-charge time. The battery heating time refers to the time required to heat the battery above a critical temperature (e.g., 0 ℃) when the battery is exposed to an ambient temperature below the critical temperature (requiring the battery to be heated and then recharged). If the battery charging process is divided into different stages, the different stages correspond to different voltage intervals, and the charging time of each stage in the charging process refers to the time corresponding to the battery cell in the different voltage intervals. The cutoff charging time is a charging retention time when the cell voltage approaches the full charge voltage in the charging process. For example, the cell voltage when the battery is fully charged is 4.13V, the cell voltage reaches 4.13V after a long period of charging time after the battery is charged to 4.12V, and the time from 4.12V to 4.13V is the cut-off charging time. The actual full charge time refers to the total time of a single charging process, i.e., the battery warm-up time + the charging time at each stage in the charging process + the cutoff charging time.
S2) receiving a new data table sent by the background server, wherein the new data table is created by the background server updating the initial data table according to the received charging time data, the parameter information, and the actual charging state information.
And the background server receives the charging time data sent by the battery management system, compares the charging time data with corresponding data in the new data table, judges whether the error between the charging time data and the corresponding data in the new data table exceeds a preset error range, and sends the new data table to the battery management system if the error between the charging time data and the corresponding data in the new data table exceeds the preset error range.
The charging time data comprises heating time corresponding to different initial cell temperatures, and charging time corresponding to different cell temperature intervals and different cell voltage intervals.
The background server can receive data which are sent by a plurality of battery management systems BMS under different environments and used for estimating the battery charging time, big data are established, the background server counts the battery core temperature, the battery core voltage and the actual charging state information under different environments, and relevant parameters influencing the battery charging time are analyzed. The background server stores an initial data table used for estimating the battery charging time, when the change of the relevant parameters influencing the charging time obtained by analysis of the background server exceeds a preset change range, the relevant parameters in the initial data table are replaced by new parameters or new parameters are added into the initial data table, the initial data table is updated, and a new data table is established. The data table can be updated in an instant or timed mode. The background server obtains a more complete and accurate new data table for estimating the battery charging time by performing statistical analysis on the big data.
S3) replacing the stored initial data table with the new data table.
The new data table comprises a charging current mapping table Tab0Charging temperature rising meter Tab1Charging time comparison table Tab2Battery heating schedule Tab3。
Charging current mapping table Tab0Examples are as follows:
the rows and columns of the gauge head respectively represent a cell temperature interval and a cell voltage interval, and the data in the table represents the maximum charging current I corresponding to the cell temperature interval and the cell voltage interval, and the unit is A. For example, when the cell temperature is-20 ═ T <0 ℃ and the cell voltage is 1.5V < U ═ 3.3V, the maximum charging current I is 50A.
Charging temperature rising meter Tab1Examples are as follows:
the rows and columns of the gauge head respectively represent a cell temperature interval and a cell voltage interval, data in the table are represented in the corresponding cell temperature interval, and Tab is adopted0Charging the corresponding maximum charging current I to the temperature rise value Tep corresponding to different cell voltagesriseThe unit is ℃. For example, when T<At-20 ℃, the temperature of the battery cell is too low to allow charging, and the temperature rise value is 0; when T is-20 ℃, according to Tab0Charging with the medium current I being 50A, and increasing the voltage of the single cell from 1.5V to the temperature rise Tep corresponding to 3.3Vrise1 ℃ is added; when T is-20 ℃, according to Tab0The medium current I is 60A for charging, the voltage of the single cell rises from 3.3V to the temperature rise value Tep corresponding to 3.6Vrise2 ℃ is added; when T is-15 ℃, according to Tab0Charging with medium current I of 60A, increasing the voltage of single cell from 3.3V to 3.6V, and applying linear interpolation method to temperature range-20<＝T<Linear interpolation calculation is carried out on the temperature rise value at 0 ℃ to obtain the corresponding temperature rise value Teprise＝2℃。
Charging time comparison table Tab2Examples are as follows:
the rows and columns of the gauge head respectively represent a cell temperature interval and a cell voltage interval, data in the table are represented in the corresponding cell temperature interval, and Tab is adopted0To a maximum charging current I corresponding toThe charging time required for the same cell voltage is in minutes. For example: when-20<＝T<At 0 ℃ according to Tab0The charging time required for the cell voltage to rise from 3.3V to 3.6V is 20 minutes when the medium current I is 60A; when T is-15 ℃, according to Tab0Charging with medium current I of 60A, increasing the voltage of single cell from 3.3V to 3.6V, and applying linear interpolation method to temperature range-20<＝T<And performing linear interpolation calculation on the charging time value at 0 ℃ to obtain the corresponding charging time of 20 minutes.
Battery heating time table Tab3Examples are as follows:
| T＝-30℃ | T＝-25℃ | T＝-20℃ | T＝-15℃ | T＝-10℃ | T＝-5℃ |
| 60 | 50 | 45 | 30 | 15 | 5 |
Tab3indicating the time required to heat the battery cell to 0 c (which can be charged) at different ambient temperatures, for example, when ambientAt a temperature T-20 ℃, it takes 45 minutes to heat the battery cell to 0 ℃.
S4) estimating the remaining battery charge time based on the new data table and the current parameter information affecting the battery charge time.
Fig. 2 is a flowchart illustrating a method for estimating a remaining battery charging time by a battery management system according to an embodiment of the present invention. As shown in fig. 2, the method for estimating the remaining battery charge time according to the present embodiment includes the following steps:
s41) acquiring the cell temperature and the cell voltage in real time.
When the ambient temperature of the battery is lower than the critical temperature (e.g., 0 ℃), direct charging cannot be performed, and the battery needs to be heated to above the critical temperature. When charging is started, judging whether the battery needs to be heated according to the initial cell temperature of the battery, and if so, heating the battery according to the battery heating time table Tab3Determining battery warm-up time T2。
And S42) obtaining the charging accumulated time of each charging stage according to the battery cell temperature, the battery cell voltage, the charging current mapping table and the charging time comparison table.
According to the charging current mapping table Tab0The method comprises the steps of collecting cell temperature and cell voltage in real time, and determining maximum charging current I corresponding to different cell temperature intervals and different cell voltage intervals in each charging stage; according to the charging time comparison table Tab2Determining the charging time T required by charging with the corresponding maximum charging current I at each charging stage1tempCharging time T of each charging phase1tempAccumulating to obtain the charging accumulated time T1. For example, the charging process is divided into four stages of 0-1.5V, 1.5-3.3V, 3.3-3.6V and 3.6-4.13V, and the charging time is T1temp1、T1temp2、T1temp3、T1temp4Cumulative time of charging T at each stage of charging1＝T1temp1+T1temp2+T1temp3+T1temp4。
When considering the temperature rise of the battery core in the charging processAccording to the charging temperature rising table Tab1Determining the temperature rise value Tep corresponding to charging by adopting the corresponding maximum charging current I in each charging stageriseJudging the temperature rise value TepriseWhether the temperature exceeds the final value of the current temperature interval, if so, according to the charging time comparison table Tab2Obtaining the charging time T corresponding to the current temperature interval by adopting a linear interpolation method1temp. If not, according to the charging time table Tab2Determining corresponding charging time T through current cell voltage interval and current temperature interval1temp。
S43) estimating the time for the battery to reach the full charge state based on the charge accumulation time of each stage of the charging.
Time T for battery to reach full charge statesumCharging cumulative time T including charging phases1Battery heating time T2And cutoff charging time T3I.e. Tsum＝T1+T2+T3. The cutoff charging time T3The charging holding time refers to the charging holding time when the cell voltage is close to the full charging voltage in the charging process, and can be compared with the Tab according to the charging time2Obtaining a cutoff charging time T3E.g. Tab2And the corresponding time of the medium cell voltage U is more than 4.13V.
S44) calculating an accumulated charged time T from the present charging current and the present SOC valuechargeTime T for the battery to reach the full charge statesumSubtracting the accumulated charged time TchargeObtaining the charging remaining time T of the batteryremaindI.e. the battery charge remaining time Tremaind＝Tsum-Tcharge。
The method for estimating the remaining time of the battery by the battery management system provided by the embodiment of the invention considers the heating time and the charging stopping time of the battery, subdivides each stage in the charging process, provides an accurate charging current mapping table and a charging time comparison table, and improves the accuracy of estimating the remaining time of the battery.
According to the embodiment of the invention, parameter information influencing the charging time of the battery and actual charging state information are counted and analyzed through the background server, and relevant charging parameters are optimized and updated. The background server obtains a more complete and accurate new data table for estimating the battery charging time through statistical analysis on the big data, and sends the new data table to the battery management system BMS, the battery management system BMS estimates the battery charging remaining time according to the new data table, and the estimation accuracy is effectively improved through the big data of the background server. The statistics and the arrangement of the battery charging related parameter data are processed by the background server with stronger computing capability, and the battery management system BMS estimates the charging remaining time according to the actual charging condition by using the parameter data processed by the background server, so that the data calculation amount and the data storage amount of the BMS are reduced, and the computing load of the BMS is effectively reduced.
Fig. 3 is a block diagram of a system for estimating remaining battery charging time according to an embodiment of the present invention. As shown in fig. 3, an embodiment of the present invention provides a battery charge remaining time estimation system, including:
the battery management system is used for estimating charging time data of the battery according to a stored initial data table for estimating the charging time of the battery, acquiring parameter information influencing the charging time of the battery and actual charging state information of the battery under different environments, and sending the charging time data, the parameter information and the actual charging state information to the background server;
the background server is used for updating the stored initial data table used for estimating the battery charging time according to the received charging time data, the parameter information and the actual charging state information so as to establish a new data table, and sending the new data table to the battery management system;
the battery management system is also used for replacing the stored initial data table with the new data table, and estimating the battery charging remaining time according to the new data table and the current parameter information influencing the battery charging time.
Further, the system further comprises:
and the communication device is in communication connection with the battery management system and the background server and is used for transmitting the charging time data, the parameter information and the actual charging state information which are sent to the battery management system to the background server and transmitting the new data table which is sent from the background server to the battery management system. The communication device is, for example, a vehicle-mounted T _ Box (telematics Box) which communicates with the battery management system BMS through a CAN bus and communicates with the backend server through a wireless connection.
Further, the background server is configured to send the new data table on the condition that an error between the received charging time data and the charging time data corresponding to the new data table exceeds a preset error range.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications are within the scope of the embodiments of the present invention. In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as disclosed in the embodiments of the present invention as long as it does not depart from the spirit of the embodiments of the present invention.
Claims (12)
1. A method for estimating a remaining battery charging time, applied to a battery management system, the battery management system storing an initial data table for estimating a battery charging time, the method comprising:
s1) estimating the charging time data of the battery according to the stored initial data table, and sending the charging time data, the parameter information which is collected under different environments and influences the charging time of the battery and the actual charging state information of the battery to a background server, wherein the initial data table is stored in the background server;
s2) receiving a new data table sent by the background server, wherein the new data table is established by the background server updating the initial data table according to the received charging time data, the parameter information and the actual charging state information;
s3) replacing the stored initial data table with the new data table;
s4) estimating the remaining battery charge time based on the new data table and the current parameter information affecting the battery charge time.
2. The battery charging remaining time estimation method according to claim 1, wherein the background server transmits the new data table on a condition that an error between the received charging time data and corresponding charging time data in the new data table exceeds a preset error range.
3. The battery charging remaining time estimation method according to claim 2, wherein the parameter information affecting the battery charging time in step S1) includes: an initial cell temperature and an initial cell voltage of the battery.
4. The battery charging remaining time estimation method according to claim 3, wherein the new data table in step S3) includes: a charging current mapping table, a charging time comparison table and a battery heating time table.
5. The battery charging remaining time estimation method according to claim 4, wherein the charging time data in step S1) includes: heating time corresponding to different initial cell temperatures, and charging time corresponding to different cell temperature intervals and different cell voltage intervals.
6. The battery remaining charge time estimation method according to claim 5, wherein the step S4) of estimating the battery remaining charge time based on the new data table and current parameter information affecting the battery remaining charge time comprises:
s41) acquiring the cell temperature and the cell voltage of the battery in real time;
s42) obtaining the charging accumulated time of each charging stage according to the cell temperature, the cell voltage, the charging current mapping table and the charging time comparison table;
s43) estimating the time of the battery reaching the full charge state according to the charge accumulated time of each charging stage;
s44) calculating an accumulated charged time according to the current charging current and the current SOC value, and subtracting the accumulated charged time from the time to reach the full charge state to obtain the battery charging remaining time.
7. The battery charging remaining time estimation method according to claim 6, wherein step S41) collects the cell temperature and the cell voltage of the battery in real time, and further comprises:
and judging whether the battery needs to be heated according to the initial cell temperature of the battery, and if so, determining the heating time of the battery according to the battery heating time table.
8. The method for estimating remaining battery charging time according to claim 7, wherein step S42) obtains the accumulated charging time of each charging stage according to the cell temperature and the cell voltage, the charging current mapping table, and the charging time mapping table, and comprises:
determining maximum charging currents corresponding to different cell temperature intervals and different cell voltage intervals in each charging stage according to the charging current mapping table and the cell temperature and the cell voltage acquired in real time;
and determining the charging time required by charging by adopting the corresponding maximum charging current in each charging stage according to the charging time comparison table.
9. The battery charging remaining time estimation method according to claim 8, wherein the time to reach the full charge state in step S43) includes: the charging accumulated time of each charging stage, the battery heating time and the cut-off charging time, wherein the cut-off charging time is the charging maintaining time when the cell voltage approaches the full charging voltage in the charging process.
10. A battery charge remaining time estimation system, the system comprising:
the battery management system is used for estimating charging time data of the battery according to a stored initial data table for estimating the charging time of the battery, acquiring parameter information influencing the charging time of the battery and actual charging state information of the battery under different environments, and sending the charging time data, the parameter information and the actual charging state information to the background server;
the background server is used for updating the stored initial data table used for estimating the battery charging time according to the received charging time data, the parameter information and the actual charging state information so as to establish a new data table, and sending the new data table to the battery management system;
the battery management system is also used for replacing the stored initial data table with the new data table, and estimating the battery charging remaining time according to the new data table and the current parameter information influencing the battery charging time.
11. The battery charge remaining time estimation system of claim 10, wherein the system further comprises:
and the communication device is in communication connection with the battery management system and the background server and is used for transmitting the charging time data, the parameter information and the actual charging state information which are sent to the battery management system to the background server and transmitting the new data table which is sent from the background server to the battery management system.
12. The battery charge remaining time estimation system according to claim 10,
and the background server is used for sending the new data table under the condition that the error between the received charging time data and the charging time data corresponding to the new data table exceeds a preset error range.
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| CN112595983A (en) * | 2021-03-03 | 2021-04-02 | 深圳市晶讯技术股份有限公司 | Charging electric quantity determination method and device, processor and storage medium |
| CN113147507A (en) * | 2021-04-25 | 2021-07-23 | 北京新能源汽车股份有限公司 | Method and device for estimating residual charging time and electric vehicle |
| CN113391221A (en) * | 2021-04-27 | 2021-09-14 | 浙江合众新能源汽车有限公司 | Charging remaining time estimation method and system |
| CN114879045A (en) * | 2022-03-29 | 2022-08-09 | 中国第一汽车股份有限公司 | Method, device, terminal and storage medium for testing verification of charging remaining time |
| WO2023273911A1 (en) * | 2021-06-28 | 2023-01-05 | 浙江吉利控股集团有限公司 | Remaining battery charging time estimation method and apparatus |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1503000A (en) * | 2002-11-08 | 2004-06-09 | MTEQϵͳ��ʽ���� | Method for caculating circulation type of intelligent battery, method and equipment for correcting full recharge capacity to intelligent battery using said method |
| JP2006262605A (en) * | 2005-03-16 | 2006-09-28 | Seiko Epson Corp | Device for calculating remaining charging time |
| CN101031810A (en) * | 2004-02-25 | 2007-09-05 | 皇家飞利浦电子股份有限公司 | Method of estimating the state-of-charge and of the use time left of a rechargeable battery, and apparatus for executing such a method |
| CN102104259A (en) * | 2009-12-16 | 2011-06-22 | 比亚迪股份有限公司 | Electric quantity detecting and controlling method and device for rechargeable battery |
| CN102411128A (en) * | 2011-07-25 | 2012-04-11 | 华北电力大学（保定） | Virtual battery management system and application method thereof |
| CN105589042A (en) * | 2015-12-10 | 2016-05-18 | 希姆通信息技术（上海）有限公司 | Calculation method for calculating residual electricity quantity of battery |
| CN105904986A (en) * | 2016-04-26 | 2016-08-31 | 深圳市德传技术有限公司 | Remote battery management and detection method and system for new-energy vehicle |
| US20180080995A1 (en) * | 2016-09-20 | 2018-03-22 | Faraday&Future Inc. | Notification system and method for providing remaining running time of a battery |
| US20190118655A1 (en) * | 2017-10-19 | 2019-04-25 | Ford Global Technologies, Llc | Electric vehicle cloud-based charge estimation |
| CN110146816A (en) * | 2019-05-31 | 2019-08-20 | 蜂巢能源科技有限公司 | Determination method, apparatus, equipment and the storage medium in remaining battery charging time |
-
2020
- 2020-02-24 CN CN202010112448.8A patent/CN112198441B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1503000A (en) * | 2002-11-08 | 2004-06-09 | MTEQϵͳ��ʽ���� | Method for caculating circulation type of intelligent battery, method and equipment for correcting full recharge capacity to intelligent battery using said method |
| CN101031810A (en) * | 2004-02-25 | 2007-09-05 | 皇家飞利浦电子股份有限公司 | Method of estimating the state-of-charge and of the use time left of a rechargeable battery, and apparatus for executing such a method |
| JP2006262605A (en) * | 2005-03-16 | 2006-09-28 | Seiko Epson Corp | Device for calculating remaining charging time |
| CN102104259A (en) * | 2009-12-16 | 2011-06-22 | 比亚迪股份有限公司 | Electric quantity detecting and controlling method and device for rechargeable battery |
| CN102411128A (en) * | 2011-07-25 | 2012-04-11 | 华北电力大学（保定） | Virtual battery management system and application method thereof |
| CN105589042A (en) * | 2015-12-10 | 2016-05-18 | 希姆通信息技术（上海）有限公司 | Calculation method for calculating residual electricity quantity of battery |
| CN105904986A (en) * | 2016-04-26 | 2016-08-31 | 深圳市德传技术有限公司 | Remote battery management and detection method and system for new-energy vehicle |
| US20180080995A1 (en) * | 2016-09-20 | 2018-03-22 | Faraday&Future Inc. | Notification system and method for providing remaining running time of a battery |
| US20190118655A1 (en) * | 2017-10-19 | 2019-04-25 | Ford Global Technologies, Llc | Electric vehicle cloud-based charge estimation |
| CN109683092A (en) * | 2017-10-19 | 2019-04-26 | 福特全球技术公司 | Electric vehicle charging estimation based on cloud |
| CN110146816A (en) * | 2019-05-31 | 2019-08-20 | 蜂巢能源科技有限公司 | Determination method, apparatus, equipment and the storage medium in remaining battery charging time |
Non-Patent Citations (1)
| Title |
|---|
| 程树英 等: "一种新型锂电池充电剩余时间预测方法", 电源技术 * |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112595983A (en) * | 2021-03-03 | 2021-04-02 | 深圳市晶讯技术股份有限公司 | Charging electric quantity determination method and device, processor and storage medium |
| CN112595983B (en) * | 2021-03-03 | 2021-06-25 | 深圳市晶讯技术股份有限公司 | Charging electric quantity determination method and device, processor and storage medium |
| CN113147507A (en) * | 2021-04-25 | 2021-07-23 | 北京新能源汽车股份有限公司 | Method and device for estimating residual charging time and electric vehicle |
| CN113391221A (en) * | 2021-04-27 | 2021-09-14 | 浙江合众新能源汽车有限公司 | Charging remaining time estimation method and system |
| WO2023273911A1 (en) * | 2021-06-28 | 2023-01-05 | 浙江吉利控股集团有限公司 | Remaining battery charging time estimation method and apparatus |
| CN114879045A (en) * | 2022-03-29 | 2022-08-09 | 中国第一汽车股份有限公司 | Method, device, terminal and storage medium for testing verification of charging remaining time |
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