CN113276683B - Electric vehicle power consumption calculation method and system - Google Patents
Electric vehicle power consumption calculation method and system Download PDFInfo
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- CN113276683B CN113276683B CN202110833976.7A CN202110833976A CN113276683B CN 113276683 B CN113276683 B CN 113276683B CN 202110833976 A CN202110833976 A CN 202110833976A CN 113276683 B CN113276683 B CN 113276683B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/12—Recording operating variables ; Monitoring of operating variables
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
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- B60L2260/54—Energy consumption estimation
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Abstract
The invention discloses a method and a system for calculating the power consumption of an electric vehicle, wherein the method comprises the following steps: acquiring a standard driving condition corresponding to a target vehicle type; extracting standard average speeds of a plurality of short strokes and standard mileage corresponding to each standard average speed from standard driving conditions; dividing the standard average vehicle speed into a plurality of continuous speed intervals, and acquiring standard power consumption corresponding to each speed interval; acquiring actual driving data corresponding to a target vehicle type; dividing the actual average speed according to the speed intervals to obtain speed interval mileage corresponding to different speed intervals; calculating energy consumption weighting coefficients corresponding to different speed intervals according to the mileage of the speed intervals and the total mileage; and performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient to obtain the actual power consumption of the target vehicle type. The invention can more accurately calculate the power consumption of the electric vehicle of a certain specific vehicle type.
Description
Technical Field
The invention relates to the technical field of new energy automobile data processing, in particular to a method and a system for calculating power consumption of an electric vehicle.
Background
At present, new energy automobiles are widely popularized in China, and most manufacturers estimate the average power consumption and endurance of users by referring to the running condition (also called standard driving condition) of the automobiles in China. The development of the running condition of the Chinese automobile is obtained by selecting some cities for road condition data collection according to the characteristics of population, automobile holding capacity and the like.
However, the driving conditions of the Chinese automobiles are set by referring to fuel vehicles, and the driving conditions are not consistent with the actual conditions when the standard driving conditions are directly used for evaluating the endurance and the power consumption of the electric vehicle when a specific vehicle type is developed for a certain large class of vehicle types. In addition, the driving behaviors of users of a certain vehicle type are different, and it is difficult to extract a section of working condition from mass data of thousands of users to represent the actual driving condition of a certain vehicle type. Therefore, how to calculate the power consumption of an electric vehicle of a specific vehicle type more accurately is a technical problem to be solved by those skilled in the art.
Disclosure of Invention
Therefore, an object of the present invention is to provide a method for calculating power consumption of an electric vehicle, so as to calculate the power consumption of the electric vehicle of a specific vehicle type more accurately.
The invention provides a power consumption calculation method of an electric vehicle, which comprises the following steps:
acquiring a standard driving condition corresponding to a target vehicle type;
extracting standard average vehicle speeds of a plurality of short strokes and a standard mileage corresponding to each standard average vehicle speed from the standard driving working condition, wherein the short strokes are divided from the end of one idling to the start of the next idling;
dividing the standard average vehicle speed into a plurality of continuous speed intervals, and acquiring standard power consumption corresponding to each speed interval;
acquiring actual driving data corresponding to the target vehicle type, wherein the actual driving data comprise actual average vehicle speeds of a plurality of short trips and actual mileage corresponding to each actual average vehicle speed;
dividing the actual average speed according to the speed intervals to obtain speed interval mileage corresponding to different speed intervals;
calculating energy consumption weighting coefficients corresponding to different speed intervals according to the mileage of the speed intervals and the total mileage, wherein the total mileage is the sum of all the mileage of the speed intervals;
and performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient to obtain the actual power consumption of the target vehicle type.
According to the electric vehicle power consumption calculation method provided by the invention, the standard driving working condition of a target vehicle type is divided into short strokes, the standard average vehicle speed is divided into a plurality of continuous speed intervals, the standard power consumption corresponding to each speed interval is obtained, on the basis, the actual driving data corresponding to the target vehicle type, namely big data is introduced, the actual average vehicle speed is divided into intervals according to the speed intervals, the speed interval mileage corresponding to different speed intervals is obtained, so that the energy consumption weighting coefficients corresponding to different speed intervals are calculated, and the standard power consumption is subjected to weighted calculation through the energy consumption weighting coefficients, so that more accurate power consumption for the target vehicle type can be obtained.
In addition, the electric vehicle power consumption calculation method according to the present invention may further include the following additional technical features:
further, the step of acquiring actual driving data corresponding to the target vehicle type specifically includes:
deriving original driving data from a T-box data system of a vehicle corresponding to the target vehicle type;
sequencing the original driving data by time through Python software, and filtering missing and abnormal data to obtain actual driving data corresponding to the target vehicle type.
Further, in the step of performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient to obtain the actual power consumption of the target vehicle type, the actual power consumption of the target vehicle type is calculated by adopting the following formula:
wherein W is the actual power consumption of the target vehicle type,
the energy consumption weighting coefficient of the ith speed interval is W (i), the standard electricity consumption of the ith speed interval is W (i), n is the number of the speed intervals, Distance _ Total (i) is the speed interval mileage of the ith speed interval, and SumDistance is the total mileage.
Further, the actual driving data further includes a total idle time, the method further comprising:
acquiring standard idle speed power consumption of the target vehicle type from the standard driving working condition;
calculating the actual idle speed power consumption of the target vehicle type according to the standard idle speed power consumption, the total idle time and the total mileage;
and performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient, and combining the actual idle speed power consumption to obtain the actual power consumption of the target vehicle type.
Further, in the step of performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient and combining the actual idle power consumption to obtain the actual power consumption of the target vehicle type, the actual power consumption of the target vehicle type is calculated by adopting the following formula:
wherein W is the actual power consumption of the target vehicle type,
and W (i) is the energy consumption weighting coefficient of the ith speed interval, W (i) is the standard electricity consumption of the ith speed interval, n is the number of the speed intervals, Tidle is the total idle time, Widle is the standard idle electricity consumption, and SumDistance is the total mileage.
Another object of the present invention is to provide a power consumption calculating system for an electric vehicle, which can calculate the power consumption of the electric vehicle of a specific vehicle type more accurately.
The invention provides a power consumption calculation system of an electric vehicle, which comprises:
the first acquisition module is used for acquiring a standard driving condition corresponding to a target vehicle type;
the extraction module is used for extracting standard average vehicle speeds of a plurality of short strokes and standard mileage corresponding to each standard average vehicle speed from the standard driving working condition, wherein the short strokes are divided from the end of one idling to the start of the next idling;
the first dividing module is used for dividing the standard average vehicle speed into a plurality of continuous speed intervals and acquiring standard power consumption corresponding to each speed interval;
the second acquisition module is used for acquiring actual driving data corresponding to the target vehicle type, wherein the actual driving data comprise actual average vehicle speeds of a plurality of short trips and actual mileage corresponding to each actual average vehicle speed;
the second division module is used for carrying out interval division on the actual average speed according to the speed interval so as to obtain speed interval mileage corresponding to different speed intervals;
the first calculation module is used for calculating energy consumption weighting coefficients corresponding to different speed intervals according to the speed interval mileage and total mileage, wherein the total mileage is the sum of all the speed interval mileage;
and the second calculation module is used for performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient so as to obtain the actual power consumption of the target vehicle type.
According to the electric vehicle power consumption calculation system provided by the invention, the standard driving working condition of a target vehicle type is divided into short strokes, the standard average vehicle speed is divided into a plurality of continuous speed intervals, the standard power consumption corresponding to each speed interval is obtained, on the basis, the actual driving data corresponding to the target vehicle type, namely big data is introduced, the actual average vehicle speed is divided into intervals according to the speed intervals, the speed interval mileage corresponding to different speed intervals is obtained, so that the energy consumption weighting coefficients corresponding to different speed intervals are calculated, and the standard power consumption is subjected to weighted calculation through the energy consumption weighting coefficients, so that more accurate power consumption for the target vehicle type can be obtained.
In addition, the electric vehicle power consumption calculation system according to the present invention may further have the following additional technical features:
further, the second obtaining module is specifically configured to:
deriving original driving data from a T-box data system of a vehicle corresponding to the target vehicle type;
sequencing the original driving data by time through Python software, and filtering missing and abnormal data to obtain actual driving data corresponding to the target vehicle type.
Further, the second calculating module is configured to calculate the actual power consumption of the target vehicle type using the following formula:
wherein W is the actual power consumption of the target vehicle type,
the energy consumption weighting coefficient of the ith speed interval is W (i), the standard electricity consumption of the ith speed interval is W (i), n is the number of the speed intervals, Distance _ Total (i) is the speed interval mileage of the ith speed interval, and SumDistance is the total mileage.
Further, the actual driving data further includes a total idle time, and the system further includes:
the third acquisition module is used for acquiring the standard idling power consumption of the target vehicle type from the standard driving working condition;
the fourth calculation module is used for calculating the actual idle speed power consumption of the target vehicle type according to the standard idle speed power consumption, the total idle time and the total mileage;
and the fifth calculation module is used for performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient and combining the actual idle power consumption to obtain the actual power consumption of the target vehicle type.
Further, the fifth calculating module is configured to calculate the actual power consumption of the target vehicle type by using the following formula:
wherein W is the actual power consumption of the target vehicle type,
and W (i) is the energy consumption weighting coefficient of the ith speed interval, W (i) is the standard electricity consumption of the ith speed interval, n is the number of the speed intervals, Tidle is the total idle time, Widle is the standard idle electricity consumption, and SumDistance is the total mileage.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
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The above and/or additional aspects and advantages of embodiments of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of an electric vehicle electricity consumption calculation method according to a first embodiment of the present invention;
fig. 2 is a flowchart of an electric vehicle electricity consumption calculation method according to a second embodiment of the present invention;
fig. 3 is a block diagram of a structure of a power consumption calculation system for an electric vehicle according to a third embodiment of the present invention;
fig. 4 is a block diagram of a structure of an electric vehicle electricity consumption calculation system according to a fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a method for calculating power consumption of an electric vehicle according to a first embodiment of the present invention includes steps S101 to S107:
and S101, acquiring a standard driving condition corresponding to the target vehicle type.
In the present embodiment, the standard driving condition, i.e., the driving condition of the chinese automobile, should be understood that, in the specific implementation, other known standard driving conditions may also be adopted. The Chinese automobile running condition is that the road data acquisition and analysis is continuously carried out for more than 3 months aiming at a certain type of automobiles in some cities, and the corresponding large traffic data and the working condition short-stroke data of the cities are obtained. And obtaining different city working condition weights according to the traffic volume and the speed interval. The short stroke in the running condition of the Chinese automobile comprises a relatively full typical short stroke condition. The working condition short stroke under different cities and different traffic flows is reflected.
And S102, extracting standard average vehicle speeds of a plurality of short strokes and a standard mileage corresponding to each standard average vehicle speed from the standard driving working condition, wherein the short strokes are divided from the end of one idling to the start of the next idling.
Wherein, because the electric motor car idling operating mode is mainly that the electrical apparatus consumes, it is less to operating mode influence before and after, so do not divide in short stroke, and because the electric motor car idling power consumption is less, in this embodiment, do not count it.
And S103, dividing the standard average vehicle speed into a plurality of continuous speed intervals, and acquiring the standard power consumption corresponding to each speed interval.
All the standard average vehicle speeds can be arranged in an ascending order, the standards are divided according to preset speed intervals, and the adjacent standard average vehicle speeds are placed in one vehicle speed interval. The speed interval division standard can be set according to the actual situation.
And after the speed intervals are divided, calculating the standard power consumption corresponding to the corresponding speed intervals in a simulation mode.
And S104, acquiring actual driving data corresponding to the target vehicle type, wherein the actual driving data comprises actual average vehicle speeds of a plurality of short trips and actual mileage corresponding to each actual average vehicle speed.
The step of acquiring actual driving data corresponding to the target vehicle type specifically comprises the following steps:
deriving original driving data from a T-box data system of a vehicle corresponding to the target vehicle type;
sequencing the original driving data by time through Python software, and filtering missing and abnormal data to obtain actual driving data corresponding to the target vehicle type.
And S105, performing interval division on the actual average vehicle speed according to the speed interval to obtain speed interval mileage corresponding to different speed intervals.
The actual average vehicle speed is divided into intervals by using the speed intervals divided in step S103, and then the speed interval mileage corresponding to different speed intervals is acquired.
And S106, calculating energy consumption weighting coefficients corresponding to different speed intervals according to the speed interval mileage and the total mileage, wherein the total mileage is the sum of all the speed interval mileage.
And S107, performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient to obtain the actual power consumption of the target vehicle type.
Specifically, the actual power consumption of the target vehicle model is calculated by adopting the following formula:
wherein W is the actual power consumption of the target vehicle type,
the energy consumption weighting coefficient of the ith speed interval is W (i), the standard electricity consumption of the ith speed interval is W (i), n is the number of the speed intervals, Distance _ Total (i) is the speed interval mileage of the ith speed interval, and SumDistance is the total mileage.
The following describes the electric vehicle power consumption calculation method with a specific example:
taking the target vehicle type as a light truck as an example, the heavy vehicle working condition in the running working condition of the Chinese vehicle is selected as the standard driving working condition, and the short stroke data is extracted from the standard driving working condition. As shown in table 1, there are 11 short trips, and the corresponding standard average vehicle speeds are: 3.9km/h, 5.1km/h, 6.2km/h, 9.4km/h, 15.2km/h, 20.5km/h, 32.3km/h, 37.7km/h, 38.1km/h, 46.9km/h, 68.8km/h, wherein standard average vehicle speed = short journey mileage/short journey time.
TABLE 1
In table 1, there are 3 speed intervals in total, i.e., n = 3. 0.61km represents the sum of the mileage corresponding to the standard average vehicle speed of 3.9km/h, 5.1km/h, 6.2km/h, 9.4km/h and 15.2km/h, 24.2 kWh/100km indicates the standard power consumption corresponding to a speed interval (0,18] km/h) obtained through simulation calculation, 6.76km indicates the sum of mileage corresponding to a standard average vehicle speed of 20.5km/h, 32.3km/h, 37.7km/h, 38.1km/h and 46.9km/h, 20.2 kWh/100km indicates the standard power consumption corresponding to the speed section (18,53] km/h) obtained by the simulation calculation, 8.51km indicates the mileage corresponding to the standard average vehicle speed of 68.8km/h, and 22.6 kWh/100km indicates the standard power consumption corresponding to the speed section (53,150] km/h) obtained by the simulation calculation.
And after actual driving data corresponding to the light truck is obtained, interval division is carried out on the actual average speed according to the speed intervals so as to obtain speed interval mileage corresponding to different speed intervals, and the obtained result is shown in table 2.
TABLE 2
In Table 2, 12459 km indicates the mileage of the speed range corresponding to (0,18] km/h, that is, the sum of the actual mileage of the pickup truck at the speed of (0,18] km/h is 12459 km, 225796 km indicates the mileage of the speed range corresponding to (18,53] km/h, that is, the sum of the actual mileage of the pickup truck at the speed of (18,53] km/h is 225796 km, 203133 km indicates the mileage of the speed range corresponding to (53,150] km/h, that is, the actual sum of the pickup truck at the speed of (53,150] km/h is 203133 km.
From the formula in step S107, the actual power consumption for the light truck can be found:
a(1)= 12459/(12459+225796+203133)=0.028227；
a(2)= 225796/(12459+225796+203133)=0.51156；
a(3)= 203133/(12459+225796+203133)=0.46021；
W=(0.028227*24.2+0.51156*20.2+0.46021*22.6)kWh/100km=21.42kWh/100km。
in summary, according to the electric vehicle power consumption calculation system provided in this embodiment, the standard driving condition of the target vehicle type is divided into short trips, the standard average vehicle speed is divided into a plurality of continuous speed intervals, and the standard power consumption corresponding to each speed interval is obtained.
Referring to fig. 2, a method for calculating power consumption of an electric vehicle according to a second embodiment of the present invention includes steps S201 to S209:
s201, obtaining a standard driving condition corresponding to the target vehicle type.
S202, extracting standard average vehicle speeds of a plurality of short strokes and standard mileage corresponding to each standard average vehicle speed from the standard driving working condition, wherein the short strokes are divided from the end of one idling to the start of the next idling.
And S203, dividing the standard average vehicle speed into a plurality of continuous speed intervals, and acquiring the standard power consumption corresponding to each speed interval.
And S204, acquiring actual driving data corresponding to the target vehicle type, wherein the actual driving data comprise actual average vehicle speeds of a plurality of short strokes and actual mileage corresponding to each actual average vehicle speed, and the actual driving data further comprise total idle time.
Still taking the pickup truck in the first embodiment as an example, for example, the total idle time obtained from the actual driving data is 1713 h.
And S205, performing interval division on the actual average vehicle speed according to the speed interval to obtain speed interval mileage corresponding to different speed intervals.
And S206, calculating energy consumption weighting coefficients corresponding to different speed intervals according to the speed interval mileage and the total mileage, wherein the total mileage is the sum of all the speed interval mileage.
And S207, acquiring the standard idling power consumption of the target vehicle type from the standard driving working condition.
And acquiring the standard idle speed power consumption of the light truck from the standard driving working condition according to the power consumption statistics of the common accessories, wherein the standard idle speed power consumption is 0.35 kWh/100 km.
And S208, calculating the actual idle speed power consumption of the target vehicle type according to the standard idle speed power consumption, the total idle time and the total mileage.
S209, performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient, and combining the actual idle speed power consumption to obtain the actual power consumption of the target vehicle type.
Wherein the actual power consumption of the target vehicle type is calculated using the following formula:
wherein W is the actual power consumption of the target vehicle type,
is the energy consumption weighting coefficient of the ith speed interval, W (i) is the standard energy consumption of the ith speed interval,n is the number of speed intervals, Tidle is the total idle time, Widle is the standard idle electricity consumption, and SumDistance is the total mileage.
Specifically, if Widle is 0.35 kWh/100km and Tidle is 1713h, the actual idle electricity consumption of the pickup truck can be found as follows: [1713/(12459+22796+203133) ]. 100 × 0.35 kWh/100km =0.14 kWh/100 km.
The actual power consumption for the pickup truck, taking into account the idle power consumption, can be finally derived:
W=21.42 kWh/100km+0.14 kWh/100km =21.56 kWh/100km。
on the basis of the first embodiment, the idle electricity consumption of the electric vehicle is considered, and the electricity consumption calculation precision is further improved.
Referring to fig. 3, a power consumption calculating system for an electric vehicle according to a third embodiment of the present invention includes:
the first acquisition module is used for acquiring a standard driving condition corresponding to a target vehicle type;
the extraction module is used for extracting standard average vehicle speeds of a plurality of short strokes and standard mileage corresponding to each standard average vehicle speed from the standard driving working condition, wherein the short strokes are divided from the end of one idling to the start of the next idling;
the first dividing module is used for dividing the standard average vehicle speed into a plurality of continuous speed intervals and acquiring standard power consumption corresponding to each speed interval;
the second acquisition module is used for acquiring actual driving data corresponding to the target vehicle type, wherein the actual driving data comprise actual average vehicle speeds of a plurality of short trips and actual mileage corresponding to each actual average vehicle speed;
the second division module is used for carrying out interval division on the actual average speed according to the speed interval so as to obtain speed interval mileage corresponding to different speed intervals;
the first calculation module is used for calculating energy consumption weighting coefficients corresponding to different speed intervals according to the speed interval mileage and total mileage, wherein the total mileage is the sum of all the speed interval mileage;
and the second calculation module is used for performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient so as to obtain the actual power consumption of the target vehicle type.
In this embodiment, the second obtaining module is specifically configured to:
deriving original driving data from a T-box data system of a vehicle corresponding to the target vehicle type;
sequencing the original driving data by time through Python software, and filtering missing and abnormal data to obtain actual driving data corresponding to the target vehicle type.
In this embodiment, the second calculating module is configured to calculate the actual power consumption of the target vehicle type by using the following formula:
wherein W is the actual power consumption of the target vehicle type,
the energy consumption weighting coefficient of the ith speed interval is W (i), the standard electricity consumption of the ith speed interval is W (i), n is the number of the speed intervals, Distance _ Total (i) is the speed interval mileage of the ith speed interval, and SumDistance is the total mileage.
According to the electric vehicle power consumption calculation system provided by the embodiment, the standard driving condition of the target vehicle type is divided into short strokes, the standard average vehicle speed is divided into a plurality of continuous speed intervals, the standard power consumption corresponding to each speed interval is obtained, on the basis, the actual driving data corresponding to the target vehicle type, namely big data is introduced, the actual average vehicle speed is divided into intervals according to the speed intervals, the speed interval mileage corresponding to different speed intervals is obtained, the energy consumption weighting coefficients corresponding to different speed intervals are calculated, the standard power consumption is subjected to weighted calculation through the energy consumption weighting coefficients, and more accurate power consumption for the target vehicle type can be obtained.
Referring to fig. 4, a power consumption calculating system for an electric vehicle according to a fourth embodiment of the present invention includes:
the first acquisition module is used for acquiring a standard driving condition corresponding to a target vehicle type;
the extraction module is used for extracting standard average vehicle speeds of a plurality of short strokes and standard mileage corresponding to each standard average vehicle speed from the standard driving working condition, wherein the short strokes are divided from the end of one idling to the start of the next idling;
the first dividing module is used for dividing the standard average vehicle speed into a plurality of continuous speed intervals and acquiring standard power consumption corresponding to each speed interval;
the second obtaining module is used for obtaining actual driving data corresponding to the target vehicle type, the actual driving data comprise actual average vehicle speeds of a plurality of short trips and actual mileage corresponding to each actual average vehicle speed, and the actual driving data further comprise total idle time;
the second division module is used for carrying out interval division on the actual average speed according to the speed interval so as to obtain speed interval mileage corresponding to different speed intervals;
the first calculation module is used for calculating energy consumption weighting coefficients corresponding to different speed intervals according to the speed interval mileage and total mileage, wherein the total mileage is the sum of all the speed interval mileage;
the third acquisition module is used for acquiring the standard idling power consumption of the target vehicle type from the standard driving working condition;
the fourth calculation module is used for calculating the actual idle speed power consumption of the target vehicle type according to the standard idle speed power consumption, the total idle time and the total mileage;
and the fifth calculation module is used for performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient and combining the actual idle power consumption to obtain the actual power consumption of the target vehicle type.
In this embodiment, the fifth calculating module is configured to calculate the actual power consumption of the target vehicle type by using the following formula:
wherein W is the actual power consumption of the target vehicle type,
and W (i) is the energy consumption weighting coefficient of the ith speed interval, W (i) is the standard electricity consumption of the ith speed interval, n is the number of the speed intervals, Tidle is the total idle time, Widle is the standard idle electricity consumption, and SumDistance is the total mileage.
On the basis of the third embodiment, the idle electricity consumption of the electric vehicle is considered, and the electricity consumption calculation precision is further improved.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. An electric vehicle power consumption calculation method is characterized by comprising the following steps:
acquiring a standard driving condition corresponding to a target vehicle type;
extracting standard average vehicle speeds of a plurality of short strokes and a standard mileage corresponding to each standard average vehicle speed from the standard driving working condition, wherein the short strokes are divided from the end of one idling to the start of the next idling;
dividing the standard average vehicle speed into a plurality of continuous speed intervals, and acquiring standard power consumption corresponding to each speed interval;
acquiring actual driving data corresponding to the target vehicle type, wherein the actual driving data comprise actual average vehicle speeds of a plurality of short trips and actual mileage corresponding to each actual average vehicle speed;
dividing the actual average speed according to the speed intervals to obtain speed interval mileage corresponding to different speed intervals;
calculating energy consumption weighting coefficients corresponding to different speed intervals according to the mileage of the speed intervals and the total mileage, wherein the total mileage is the sum of all the mileage of the speed intervals;
and performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient to obtain the actual power consumption of the target vehicle type.
2. The electric vehicle power consumption calculation method according to claim 1, wherein the step of acquiring actual driving data corresponding to the target vehicle type specifically comprises:
deriving original driving data from a T-box data system of a vehicle corresponding to the target vehicle type;
sequencing the original driving data by time through Python software, and filtering missing and abnormal data to obtain actual driving data corresponding to the target vehicle type.
3. The method according to claim 1, wherein in the step of performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient to obtain the actual power consumption of the target vehicle type, the actual power consumption of the target vehicle type is calculated by using the following formula:
wherein W is the actual power consumption of the target vehicle type,
the energy consumption weighting coefficient of the ith speed interval is W (i), the standard electricity consumption of the ith speed interval is W (i), n is the number of the speed intervals, Distance _ Total (i) is the speed interval mileage of the ith speed interval, and SumDistance is the total mileage.
4. The electric vehicle power consumption calculation method according to claim 1, wherein the actual driving data further includes a total idle time, the method further comprising:
acquiring standard idle speed power consumption of the target vehicle type from the standard driving working condition;
calculating the actual idle speed power consumption of the target vehicle type according to the standard idle speed power consumption, the total idle time and the total mileage;
and performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient, and combining the actual idle speed power consumption to obtain the actual power consumption of the target vehicle type.
5. The electric vehicle power consumption calculation method according to claim 4, wherein in the step of performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient and combining the actual idle power consumption to obtain the actual power consumption of the target vehicle type, the actual power consumption of the target vehicle type is calculated by using the following formula:
wherein W is the actual power consumption of the target vehicle type,
the energy consumption weighting coefficient of the ith speed interval is W (i), the standard electricity consumption of the ith speed interval is W (i), n is the number of the speed intervals, Tidle is the total idle time, Widle is the standard idle electricity consumption, SumDistance is the total mileage, and Distance _ Total (i) is the speed interval mileage of the ith speed interval.
6. An electric vehicle electricity consumption calculation system, comprising:
the first acquisition module is used for acquiring a standard driving condition corresponding to a target vehicle type;
the extraction module is used for extracting standard average vehicle speeds of a plurality of short strokes and standard mileage corresponding to each standard average vehicle speed from the standard driving working condition, wherein the short strokes are divided from the end of one idling to the start of the next idling;
the first dividing module is used for dividing the standard average vehicle speed into a plurality of continuous speed intervals and acquiring standard power consumption corresponding to each speed interval;
the second acquisition module is used for acquiring actual driving data corresponding to the target vehicle type, wherein the actual driving data comprise actual average vehicle speeds of a plurality of short trips and actual mileage corresponding to each actual average vehicle speed;
the second division module is used for carrying out interval division on the actual average speed according to the speed interval so as to obtain speed interval mileage corresponding to different speed intervals;
the first calculation module is used for calculating energy consumption weighting coefficients corresponding to different speed intervals according to the speed interval mileage and total mileage, wherein the total mileage is the sum of all the speed interval mileage;
and the second calculation module is used for performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient so as to obtain the actual power consumption of the target vehicle type.
7. The electric vehicle power consumption calculation system of claim 6, wherein the second obtaining module is specifically configured to:
deriving original driving data from a T-box data system of a vehicle corresponding to the target vehicle type;
sequencing the original driving data by time through Python software, and filtering missing and abnormal data to obtain actual driving data corresponding to the target vehicle type.
8. The electric vehicle power consumption calculation system of claim 6, wherein the second calculation module is configured to calculate the actual power consumption of the target vehicle type using the following formula:
wherein W is the actual power consumption of the target vehicle type,
the energy consumption weighting coefficient of the ith speed interval is W (i), the standard electricity consumption of the ith speed interval is W (i), n is the number of the speed intervals, Distance _ Total (i) is the speed interval mileage of the ith speed interval, and SumDistance is the total mileage.
9. The electric vehicle power consumption calculation system of claim 6, wherein the actual driving data further comprises a total idle time, the system further comprising:
the third acquisition module is used for acquiring the standard idling power consumption of the target vehicle type from the standard driving working condition;
the fourth calculation module is used for calculating the actual idle speed power consumption of the target vehicle type according to the standard idle speed power consumption, the total idle time and the total mileage;
and the fifth calculation module is used for performing weighted calculation on the standard power consumption according to the energy consumption weighting coefficient and combining the actual idle power consumption to obtain the actual power consumption of the target vehicle type.
10. The electric vehicle power consumption calculation system of claim 9, wherein the fifth calculation module is configured to calculate the actual power consumption of the target vehicle type using the following formula:
wherein W is the actual power consumption of the target vehicle type,
the energy consumption weighting coefficient of the ith speed interval is W (i), the standard electricity consumption of the ith speed interval is W (i), n is the number of the speed intervals, Tidle is the total idle time, Widle is the standard idle electricity consumption, SumDistance is the total mileage, and Distance _ Total (i) is the speed interval mileage of the ith speed interval.
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