CN114290959B - Active life control method and system for power battery and computer readable storage medium - Google Patents

Active life control method and system for power battery and computer readable storage medium Download PDF

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CN114290959B
CN114290959B CN202111660004.9A CN202111660004A CN114290959B CN 114290959 B CN114290959 B CN 114290959B CN 202111660004 A CN202111660004 A CN 202111660004A CN 114290959 B CN114290959 B CN 114290959B
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郑英
朱骞
牟丽莎
邓承浩
秦良艳
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Deep Blue Automotive Technology Co ltd
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    • YGENERAL 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
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    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02E60/10Energy storage using batteries
    • YGENERAL 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
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Abstract

The invention provides a method, a system and a computer readable storage medium for controlling active life of a power battery, comprising the following steps: (1) setting a lifetime target: accumulated time t total Or accumulated throughput Ah total The SOH of the rear battery is not less than SOH end The method comprises the steps of carrying out a first treatment on the surface of the (2) Counting historical average value of highest temperature of battery, historical SOC use interval, current accumulated standing time and current accumulated total time t now Current accumulated throughput Ah now The method comprises the steps of carrying out a first treatment on the surface of the (3) Estimating SOH of battery according to BMS, calculating current SOH now The future use strategy combination which can meet the set life target is calculated once again when SOH descends by a certain gradient; (4) The one having the least negative influence on the performance is selected from the calculated combinations, and the BMS controls according to the selected one. The invention can actively adjust the use strategy of the battery according to the current battery state in the running process of the electric automobile so as to delay the speed of the service life decay of the battery and realize the extension of the service life of the battery.

Description

Active life control method and system for power battery and computer readable storage medium
Technical Field
The invention belongs to the technical field of new energy automobile battery management systems, and particularly relates to a power battery life control technology.
Background
Under the dual pressures of environmental pollution and energy crisis, hybrid electric vehicles, pure electric vehicles and fuel cell vehicles are becoming more and more accepted by people due to the great potential of energy conservation and emission reduction. Among them, the pure electric vehicle is considered as one of the potential solutions in the future. At present, most pure electric vehicles use lithium ion batteries as energy sources due to comprehensive consideration of speed, efficiency, endurance mileage, service life, safety and cost of the vehicles.
However, compared with a fuel vehicle, a pure electric vehicle has a phenomenon of reduced endurance due to capacity aging of a lithium ion battery, so that daily travel of consumers is affected. When the service life of the battery is reduced to a certain extent, the battery needs to be replaced, so that economic burden is caused to consumers, the popularization of the pure electric automobile is affected, and on the other hand, the safety of the battery is also reduced along with the reduction of the battery. It is therefore extremely important to slow down the rate of battery life decay.
Disclosure of Invention
The invention provides a method, a system and a computer readable storage medium for controlling active life of a power battery, and aims to actively adjust a use strategy of the battery according to the current battery state in the running process of an electric automobile so as to delay the speed of battery life attenuation and realize the extension of the battery life.
The technical scheme of the invention is as follows:
the active life control method of the power battery mainly comprises the following steps:
(1) Setting a life target: accumulated time t total Or accumulated throughput Ah total The SOH of the rear battery is not less than SOH end
(2) Counting historical average value of highest temperature of battery, historical SOC use interval, current accumulated standing time and current accumulated total time t now Current accumulated throughput Ah now
(3) Estimating SOH of battery according to BMS, calculating current SOH now The future use strategy combination which can meet the set life target is calculated once again when SOH descends by a certain gradient;
(4) The one having the least negative influence on the performance is selected from the calculated combinations, and the BMS controls according to the selected one.
Further, the calculation in the step (3) adopts a cycle life model
SOH=f 1 (T,I c ,SOC1,Ah)+f 2 (T,SOC2,St) (1)
Wherein T is the temperature (K); i c Is the charging multiplying power; SOC1 is an SOC interval; ah is the accumulated charge throughput; SOC2 is the storage SOC; st is the storage time (days);
the calculation process comprises the following steps:
(3.1) converting the cycle life model into
SOH=f 1 (T,I c ,SOC1,t*Ah per )+f 2 (T,SOC2,t*St R ) (2)
Wherein Ah is per For daily charge throughput, calculated from the accumulated throughput/accumulated total time; st R For the storage time proportion, calculating from the accumulated standing time/accumulated total time; t is the accumulated total time;
(3.2) converting the two-dimensional lifetime target into a one-dimensional target:
Figure BDA0003446728550000021
wherein t is end Is the same goal as the life time (day);
(3.3) in the future t end -t now The decay of the battery is not greater than SOH for a period of time now -SOH end The method comprises the following steps:
f 1 (T,I c ,SOC1,(t end -t now )*Ah per )+f 2 (T,SOC2,(t end -t now )*St R )≤SOH now -SOH end (4)
and (3) solving the formula (4) to obtain the combination of the temperature, the multiplying power and the SOC use interval.
The battery cycle life model of the invention is established based on battery life test data. The battery cell life test is divided into a cycle life test and a static storage test; the dimension of the working condition of the cycle life test selects the temperature, the charging multiplying power and the SOC interval; and standing and storing the dimension selection temperature and the SOC of the test working condition.
The invention further provides a power battery active life control system, which comprises a processor and a memory, wherein the memory is stored with a computer program, and the computer program realizes the power battery active life control method when being executed by the processor.
Further, the present invention also provides a computer-readable storage medium having stored thereon a computer program, characterized in that the steps of the power battery active life control method as described above are implemented when the computer program is executed by a processor.
According to the technical scheme, the battery life model established based on the battery life test and the SOH estimated by the BMS in real time can be used for adjusting the use strategy of the power battery regularly, so that the use strategy of the battery can be actively adjusted according to the current battery state in the running process of the electric automobile to delay the speed of battery life attenuation, and the service life of the battery is prolonged.
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FIG. 1 is an active life control logic block diagram.
Detailed Description
The following further describes specific implementations of the present invention with reference to the accompanying drawings.
Example 1:
the invention adopts the following ways to realize the active control of the service life of the power battery:
1. establishing a battery life model based on the battery life test, comprising:
1.1, combining with the actual use of the battery, dividing the battery life test into a cycle life test and a static storage test.
1.2, the cyclic aging test is mainly considered from three dimensions, namely, temperature, charging rate and SOC interval; setting test working conditions of different condition combinations, and carrying out cyclic charge and discharge tests on at least 3 battery cells in each working condition, and periodically carrying out normal-temperature standard capacity test.
1.3, the static storage test is mainly considered from two dimensions, namely temperature and storage SOC; setting test working conditions of different condition combinations, wherein each working condition at least adopts 3 battery cores to carry out storage test, and carrying out normal-temperature standard capacity test regularly.
1.4, a life model of the battery was built from the test data of 1.2 and 1.3:
SOH=f 1 (T,I c ,SOC1,Ah)+f 2 (T,SOC2,St) (1)
wherein T is the temperature (K); i c Is the charging multiplying power; SOC1 is an SOC interval; ah is the accumulated charge throughput; SOC2 is the storage SOC; st is the storage time (days).
2. The BMS regularly adjusts the use strategy of the battery according to the current battery state to realize the active control of the service life of the power battery, and the specific method is as follows:
2.1, setting a life target: accumulated time t total Or accumulated throughput Ah total The SOH of the rear battery is not less than SOH end
2.2, counting historical average value of highest temperature of the battery, historical SOC use interval, current accumulated standing time and current accumulated total time t now Current accumulated throughput Ah now
2.3 estimating SOH of the battery according to BMS, and calculating the SOH at the current time now Future combinations of usage policies that meet the set lifetime objectives are set. To avoid the effect of model errors, SOH is recalculated once every time a gradient is dropped.
The calculation process is as follows:
step one, in order to reduce dimension and facilitate calculation, the cyclic life model is converted into
SOH=f 1 (T,I c ,SOC1,t*Ah per )+f 2 (T,SOC2,t*St R ) (2)
Wherein Ah is per For daily charge throughput, calculated from the accumulated throughput/accumulated total time; st R For the storage time proportion, calculating from the accumulated standing time/accumulated total time; t is the accumulated total time;
step two, converting the two-dimensional life target into a one-dimensional target:
Figure BDA0003446728550000041
wherein t is end Is a life time goal (day);
step three, in the future t end -t now The decay of the battery is not greater than SOH for a period of time now -SOH end The method comprises the following steps:
f 1 (T,I c ,SOC1,(t end -t now )*Ah per )+f 2 (T,SOC2,(t end -t now )*St R )≤SOH now -SOH end (4)
and (3) solving the formula (4) to obtain the combination of the temperature, the multiplying power and the SOC use interval.
2.4, screening out one with the least negative influence on the performance (dynamic performance and endurance) from the combination calculated in 2.3, and controlling by the BMS.
Example 2:
the present embodiment is a power battery active life control system, which includes a processor and a memory, where the memory stores a computer program, and when the computer program is executed by the processor, the power battery active life control method described in the foregoing embodiment is implemented.
Example 3:
the present embodiment is a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the power battery active life control method as described in the above embodiments.
The invention can be used for offline application and used as a design basis for meeting quality assurance requirements of project initial thermal management and battery use windows; the method can also be used for on-line control, and the use strategy of the power battery can be adjusted in real time in the running process of the vehicle.
In the foregoing specification, the gist of the present invention has been described by referring to specific embodiments. However, various modifications and changes can be made without departing from the gist of the present invention as set forth in the claims. The drawings described in the present specification are to be regarded as illustrative rather than restrictive. Accordingly, the scope of the gist of the present invention should be determined by the claims and their legal equivalents or entities, not by the examples described only. Any steps set forth in any method or process claims in this specification may be performed in any order or combination of orders and are not limited to the exemplary specific order set forth in the claims.

Claims (5)

1. The active life control method of the power battery is characterized by comprising the following steps of:
step one, setting a life target, namely accumulated time t total Or accumulated throughput Ah total The SOH of the rear battery is not less than SOH end
Step two, counting historical average value of highest temperature of the battery, historical SOC use interval, current accumulated standing time and current accumulated total time t now Current accumulated throughput Ah now
Step three, estimating SOH of the battery according to BMS, and calculating the current SOH now The future use strategy combination which can meet the set life target is calculated once again when SOH descends by a certain gradient;
calculation using a cycle life model
SOH=f 1 (T,I c ,SOC1,Ah)+f 2 (T, SOC2, st) equation one
Wherein T is the temperature; i c Is the charging multiplying power; SOC1 is an SOC use interval; ah is the accumulated charge throughput; SOC2 is the storage SOC; st is the storage time;
the process comprises the following steps:
first, the cycle life model is converted into
SOH=f 1 (T,I c ,SOC1,t*Ah per )+f 2 (T,SOC2,t*St R ) Formula II
Wherein Ah is per For daily charge throughput, calculated from the accumulated throughput/accumulated total time; st R For the storage time proportion, calculating from the accumulated standing time/accumulated total time; t is the accumulated total time;
then, the two-dimensional lifetime target is converted into a one-dimensional target:
Figure FDA0004189264440000011
wherein t is end Is a life time target;
finally, at future t end -t now The decay of the battery is not greater than SOH for a period of time now -SOH end The method comprises the following steps:
f 1 (T,I c ,SOC1,(t end -t now )*Ah per )+f 2 (T,SOC2,(t end -t now )*St R )≤SOH now -SOH end equation four
Solving the formula IV to obtain a combination of temperature, multiplying power and SOC use interval;
and step four, screening out one with the least negative influence on the performance from the calculated combination, and controlling by the BMS.
2. The method for controlling the active life of a power battery according to claim 1, wherein the battery cycle life model is established by data of a battery cell life test, and the battery cell life test is divided into a cycle life test and a static storage test; the dimension of the working condition of the cycle life test selects the temperature, the charging multiplying power and the SOC use interval; and standing and storing the dimension selection temperature and the SOC of the test working condition.
3. The method for controlling the active life of the power battery according to claim 2, wherein the cycle life test sets test conditions of different condition combinations, each condition adopts at least 3 cells to carry out cycle charge and discharge tests, and normal temperature standard capacity tests are carried out regularly;
and setting test working conditions of different condition combinations in the static storage test, wherein each working condition adopts at least 3 electric cores to carry out storage test, and carrying out normal-temperature standard capacity test regularly.
4. A power battery active life control system comprising a processor and a memory, wherein the memory has a computer program stored thereon, which when executed by the processor, implements the power battery active life control method of any of claims 1-3.
5. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the power battery active life control method of any one of claims 1-3.
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