CN111845446A - Power battery endurance mileage estimation system and method - Google Patents
Power battery endurance mileage estimation system and method Download PDFInfo
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- CN111845446A CN111845446A CN202010711382.4A CN202010711382A CN111845446A CN 111845446 A CN111845446 A CN 111845446A CN 202010711382 A CN202010711382 A CN 202010711382A CN 111845446 A CN111845446 A CN 111845446A
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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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
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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
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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Abstract
The invention relates to the technical field of power battery control, and provides a power battery endurance mileage estimation system and a power battery endurance mileage estimation method, wherein the method comprises the following steps: s1, reading the current electric quantity SOC of the power battery; s2, acquiring the driving mileage corresponding to each current set electric quantity interval based on the recent driving behavior table; and S3, estimating the driving mileage of the current electric quantity SOC based on the driving mileage corresponding to each current set electric quantity interval. The driving mileage of the current electric quantity is estimated based on the driving mileage corresponding to each set electric quantity interval in recent driving behaviors, the influence of weather and battery aging degree on the driving mileage of the electric power battery is comprehensively considered, for example, the driving mileage of the same electric quantity in summer is lower than that in spring under the same condition, and the accuracy of the driving mileage of the electric quantity is improved because an air conditioner needs to be started in summer.
Description
Technical Field
The invention relates to the technical field of power battery control, and provides a power battery endurance mileage estimation system and method.
Background
Energy automobiles develop rapidly in recent years, the reserve of new energy automobiles in the market is continuously increased, but the product quality problem is increasingly prominent, one of the main problems of after-sale market feedback of the new energy automobiles is inaccurate in driving mileage, the electric quantity is estimated mostly based on an ampere-hour integral method at present, the estimation of the electric quantity based on the ampere-hour integral method can cause the problem of error accumulation, along with the accumulation of time, the electric quantity error is larger, the driving mileage estimated by a vehicle is greatly different from the actual driving mileage, the vehicle is suddenly anchored on the road or the tail end driving mileage is quickly lost, and the driving safety and the user experience are influenced.
Disclosure of Invention
The invention provides a power battery endurance mileage estimation method, which is used for estimating the endurance mileage of current electric quantity based on the driving mileage corresponding to each set electric quantity interval in recent driving behaviors and improving the accuracy of the endurance mileage of the electric quantity.
The invention is realized in such a way that a power battery endurance mileage estimation system comprises:
the system comprises a power battery, a battery management system BMS and a VCU controller which is in communication connection with the battery management system;
in the driving process of the vehicle, a battery management system BMS periodically reads the current residual electric quantity of the power battery, a VCU controller periodically calculates the driving mileage of the current period, and a driving behavior table stores the current electric quantity and the driving mileage of the corresponding period;
the driving behavior table is used for recording one-time driving behavior data, and one-time driving behavior refers to starting from the end of current charging and ending when charging is started next time or the electric quantity reaches the lowest value of the electric quantity.
Further, the system further comprises:
the characteristic information acquisition unit is in communication connection with the VCU controller;
the characteristic information acquisition unit is used for acquiring characteristic information of a driver, and the VCU controller is matched with the corresponding driving behavior table based on the driving characteristic information.
The invention is realized in such a way that a power battery endurance mileage estimation method specifically comprises the following steps:
s1, reading the current electric quantity SOC of the power battery;
s2, acquiring the driving mileage corresponding to each current set electric quantity interval based on the recent driving behavior table;
and S3, estimating the driving mileage of the current electric quantity SOC based on the driving mileage corresponding to each current set electric quantity interval.
Further, the method for calculating the endurance mileage of the current electric quantity SOC specifically includes:
s31, obtaining the set electric quantity interval [ SOC ] of the current electric quantityi,SOCi-1]，
S32, calculating the SOC to SOC of the electric quantityi-1Is running distance L0；
S33, obtaining electric quantity interval (SOC)i,SOCi-1]The sum L of the driving mileage corresponding to all the subsequent set electric quantity intervalsS，
S34, mileage L0And the driving mileage LSAnd the sum is the endurance mileage corresponding to the current electric quantity SOC.
Further, the method for acquiring the driving mileage corresponding to each current set electric quantity interval comprises the following steps:
s21, acquiring the driving mileage of each set electric quantity interval in the recent driving behavior table;
and S22, taking the average value of the traveled mileage in each set electric quantity interval as the traveled mileage of each current set electric quantity interval.
Further, the method for acquiring the driving behavior table specifically comprises the following steps:
After each charging, the VCU controller generates a new driving behavior table,
in the running process of the vehicle, the battery management system BMS periodically reads the current electric quantity of the power battery, meanwhile, the VCU controller calculates the running mileage in the current period, the current electric quantity and the running mileage in the corresponding period are stored in the driving behavior table, and when the current electric quantity reaches the set lowest electric quantity value or is charged again, the recording of the current driving behavior table is finished.
Further, before step S1, the method further includes the following steps:
when the vehicle is started, the characteristic information of the driver is collected, the characteristic information of the driver is stored in the driving behavior table, and the driving mileage of each set electric quantity interval in the recent driving behavior of the driver is acquired in step S2.
The driving mileage of the current electric quantity is estimated based on the driving mileage corresponding to each set electric quantity interval in recent driving behaviors, the influence of weather and battery aging degree on the driving mileage of the electric power battery is comprehensively considered, for example, the driving mileage of the same electric quantity in summer is lower than that in spring under the same condition, and the accuracy of the driving mileage is improved because an air conditioner needs to be started in summer.
Drawings
Fig. 1 is a schematic structural diagram of a system for estimating a driving range of a power battery according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for estimating the driving range of a power battery according to an embodiment of the present invention.
Detailed Description
The following description of preferred embodiments of the invention will be made in further detail with reference to the accompanying drawings.
Fig. 1 is a schematic structural diagram of a system for estimating a driving range of a power battery according to an embodiment of the present invention, and for convenience of description, only a portion related to the embodiment of the present invention is shown.
The system comprises:
the system comprises a power battery, a battery management system BMS and a VCU controller which is in communication connection with the battery management system;
in the driving process of the vehicle, a battery management system BMS periodically reads the current residual electric quantity of the power battery, a VCU controller periodically calculates the driving mileage of the current period, and a driving behavior table stores the current electric quantity and the driving mileage of the corresponding period;
and one driving behavior table is used for recording one-time driving behavior data, wherein one-time driving behavior is from the end of current charging to the end of next charging or the end of the electric quantity reaching the lowest value of the electric quantity.
In an embodiment of the present invention, the system further includes:
The driver characteristic information acquisition unit is in communication connection with the VCU controller;
the driver characteristic information acquisition unit is used for acquiring characteristic information of a driver, and the VCU controller is matched with the corresponding driving behavior table based on the driving characteristic information.
Fig. 2 is a flowchart of a method for estimating a driving range of a power battery according to an embodiment of the present invention, where the method specifically includes the following steps:
s1, reading the current electric quantity SOC of the power battery;
s2, acquiring the driving mileage corresponding to each current set electric quantity interval based on the recent driving behavior table, wherein the recent driving behavior table can be specified to be the last three days or one week and the like;
in the embodiment of the present invention, the method for acquiring the driving mileage corresponding to each current set electric quantity interval specifically includes the following steps:
s21, acquiring the driving mileage of each set electric quantity interval in the recent driving behavior table;
and S22, taking the average value of the traveled mileage in each set electric quantity interval as the traveled mileage of each current set electric quantity interval.
In the embodiment of the present invention, the method for acquiring the driving behavior table specifically includes the following steps:
after each charging, the VCU controller generates a new driving behavior table,
in the running process of the vehicle, the battery management system BMS periodically reads the current electric quantity of the power battery, meanwhile, the VCU controller calculates the running mileage in the current period, the current electric quantity and the running mileage in the corresponding period are stored in the driving behavior table, and when the current electric quantity reaches the set lowest electric quantity value or is charged again, the recording of the current driving behavior table is finished;
And acquiring the driving mileage corresponding to each set electric quantity interval based on the driving behavior table.
In the embodiment of the invention, if the electric quantity of the power battery is not fully charged after the charging is finished and the electric quantity is located in the highest set electric quantity interval, the driving mileage corresponding to the highest set electric quantity interval is calculated based on an interpolation method, and if the electric quantity is not located in the highest set electric quantity interval, the highest set electric quantity interval in the current driving behavior is abandoned.
Setting the lowest electric quantity value to be 20%, dividing the electric quantity into eight set electric quantity intervals, wherein each set electric quantity interval is [ 100%, 90% ], [ 90%, 80% ], [ 80%, 70% ], … …, [ 40%, 30% ], [ 30%, 20% ]; assuming that the driving range corresponding to each set power range in the current driving behavior is calculated based on the driving behavior table corresponding to the driving behaviors of last 3 times, assuming that the highest power in the first driving behavior table is 95%, the lowest power is 28%, the maximum power in the second driving behavior table is 100%, the lowest power is 32%, the highest power in the third driving behavior table is 89%, and the lowest power is 20%, for the first driving behavior table, the following power ranges [ 95%, 90% ], [ 90%, 80% ], … …, [ 40%, 30% ], [ 30%, 28% ] are sequentially obtained, and for the highest power range [ 95%, 90% ], assuming that the driving range corresponding to the highest power range is 5km, the driving range of the highest set power range is: 5 x (100% -90%)/(95% -90%) -10 km; for the lowest power interval [ 30%, 28% ], assuming that the driving distance corresponding to the highest power interval is 0.5km, the driving distance of the low-high set power interval is: 0.5 x (30% -20%)/(30% -28%) -. 2.5km, for the second driving behavior table, the lowest electric quantity section [ 40%, 32% ] does not exist, therefore, there is no set lowest electric quantity section [ 30%, 20% ], and when the driving range of each set electric quantity section in the historical behaviors is calculated by taking the average value, the set lowest electric quantity section is the average value of the first driving behavior table and the second driving behavior table;
In addition, when the battery management system BMS periodically reads the current electric quantity of the power battery, the read electric quantity value may not coincide with an end value of the set electric quantity interval, if a difference value between the electric quantity value and the end value is within an allowable deviation range, the electric quantity value closest to the end value is calculated as the end value, and if the difference value between the electric quantity value and the end value is beyond the allowable deviation range, the battery management system BMS scales based on the driving mileage corresponding to the electric quantity interval in which the end value is located; setting the allowable deviation range to be 0.5%, assuming that the deviation of a group of electric quantity values currently read by the battery management system is 82%, 81.5%, 80.3%, 79.1%, 80.3% and the end value 80% of the set electric quantity interval is within the allowable deviation range, calculating 80.3% as the end value, and setting the driving mileage of the electric quantity interval [ 90%, 80.3% ] as the driving mileage of the set quantitative interval [ 90%, 80% ]; assuming that a set of currently read electric quantity values is 60.7%, 59.4% and 58.2%, and then 59.4% is nearest to an end value 60%, and the deviation of the electric quantity value from the end value 60% of the set electric quantity interval exceeds the allowable deviation range, acquiring the driving mileage of the electric quantity interval [ 60.7%, 59.4% ], and assuming that the driving mileage is 0.3km, calculating the driving mileage of the set electric quantity interval, wherein 0.3 x (60.7% -60%)/(60.7% -59.4%)/(0.12 km);
And S3, estimating the driving mileage of the current electric quantity SOC based on the driving mileage corresponding to each current set electric quantity interval.
In the embodiment of the present invention, the method for calculating the endurance mileage of the current electric quantity SOC specifically includes:
s31, obtaining the set electric quantity interval [ SOC ] of the current electric quantityi,SOCi-1]，
S32, calculating the SOC to SOC of the electric quantityi-1Is running distance L0；
S33, obtaining electric quantity interval (SOC)i,SOCi-1]The sum L of the driving mileage corresponding to all the subsequent set electric quantity intervalsS，
S34, mileage L0And the driving mileage LSAnd the sum is the endurance mileage corresponding to the current electric quantity SOC.
In the embodiment of the present invention, assuming that the current charge is 75%, the current charge interval is set as [ 80%, 70%]The mileage of (1) is 4km, then [ 75%, 70%)]Is running distance L02km, and a set electric quantity interval of [ 80%, 70% ]]Then the interval of the set electric quantity is (70%, 60%)]、[60％，50％]、.......、[60％，50％]Sum of driving mileage of LSIf the current electric quantity corresponds to the endurance mileage L0And LSAnd (4) summing.
In the embodiment of the present invention, before step S1, the following steps are further included:
when a vehicle is started, collecting characteristic information of a driver, and storing the characteristic information of the driver into a driving behavior table;
the driving habits of different drivers are different, and the driving mileage of each set power interval in the recent driving behavior of the current driver is acquired in step S2.
The method for estimating the endurance mileage of the power battery has the following beneficial technical effects:
the driving mileage of the current electric quantity is estimated based on the driving mileage corresponding to each set electric quantity interval in recent driving behaviors, the influence of weather and battery aging degree on the driving mileage of the electric power battery is comprehensively considered, for example, the driving mileage of the same electric quantity in summer is lower than that in spring under the same condition, and the accuracy of the driving mileage is improved because an air conditioner needs to be started in summer.
It is clear that the specific implementation of the invention is not restricted to the above-described embodiments, but that various insubstantial modifications of the inventive process concept and technical solutions are within the scope of protection of the invention.
Claims (7)
1. A power cell range estimation system, the system comprising:
the system comprises a power battery, a battery management system BMS and a VCU controller which is in communication connection with the battery management system;
in the driving process of the vehicle, a battery management system BMS periodically reads the current residual electric quantity of the power battery, a VCU controller periodically calculates the driving mileage of the current period, and a driving behavior table stores the current electric quantity and the driving mileage of the corresponding period;
The driving behavior table is used for recording one-time driving behavior data, and one-time driving behavior refers to starting from the end of current charging and ending when charging is started next time or the electric quantity reaches the lowest value of the electric quantity.
2. The power cell range estimation system of claim 1, further comprising:
the driver characteristic information acquisition unit is in communication connection with the VCU controller;
the driver characteristic information acquisition unit is used for acquiring characteristic information of a driver, and the VCU controller is matched with the corresponding driving behavior table based on the driving characteristic information.
3. The power battery endurance mileage estimation method based on the power battery endurance mileage estimation system according to claim 1 or 2, characterized by specifically comprising the steps of:
s1, reading the current electric quantity SOC of the power battery;
s2, acquiring the driving mileage corresponding to each current set electric quantity interval based on the recent driving behavior table;
and S3, estimating the driving mileage of the current electric quantity SOC based on the driving mileage corresponding to each current set electric quantity interval.
4. The method for estimating the driving mileage of a power battery according to claim 3, wherein the method for calculating the driving mileage of the current SOC specifically comprises:
S31, obtaining the set electric quantity interval [ SOC ] of the current electric quantityi,SOCi-1]，
S32, calculating the SOC to SOC of the electric quantityi-1Is running distance L0；
S33, obtaining electric quantity interval (SOC)i,SOCi-1]The sum L of the driving mileage corresponding to all the subsequent set electric quantity intervalsS；
S34, mileage L0And the driving mileage LSAnd the sum is the endurance mileage corresponding to the current electric quantity SOC.
5. The method for estimating the driving mileage of a power battery as claimed in claim 3, wherein the method for obtaining the driving mileage corresponding to each current set electric quantity interval comprises the following steps:
s21, acquiring the driving mileage of each set electric quantity interval in the recent driving behavior table;
and S22, taking the average value of the traveled mileage in each set electric quantity interval as the traveled mileage of each current set electric quantity interval.
6. The method for estimating the driving mileage of a power battery as claimed in claim 3 or 5, wherein the method for obtaining the driving behavior table specifically comprises the following steps:
after each charging, the VCU controller generates a new driving behavior table,
in the running process of the vehicle, the battery management system BMS periodically reads the current electric quantity of the power battery, meanwhile, the VCU controller calculates the running mileage in the current period, the current electric quantity and the running mileage in the corresponding period are stored in the driving behavior table, and when the current electric quantity reaches the set lowest electric quantity value or is charged again, the recording of the current driving behavior table is finished.
7. The method for estimating driving range of a power battery according to claim 3, wherein before the step S1, the method further comprises the following steps:
when the vehicle is started, the characteristic information of the driver is collected, the characteristic information of the driver is stored in the driving behavior table, and the driving mileage of each set electric quantity interval in the recent driving behavior of the driver is acquired in step S2.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114274780A (en) * | 2022-01-10 | 2022-04-05 | 中国第一汽车股份有限公司 | Vehicle driving mileage prediction method, device, equipment and storage medium |
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Application publication date: 20201030 |