TD3-based energy management strategy for hybrid energy storage system of electric vehicle
Combining batteries and super capacitors into a composite power system (CPS) with an effective energy management strategy can significantly improve the energy utilization, and increase the service life of the energy storage system.To minimize the energy loss of the system, an energy management strat...
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| Format: | Article |
| Language: | zho |
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POSTS&TELECOM PRESS Co., LTD
2022-06-01
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| Series: | 智能科学与技术学报 |
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| Online Access: | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202230 |
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| _version_ | 1846171129314541568 |
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| author | Jiacheng LIU Xiangwen ZHANG |
| author_facet | Jiacheng LIU Xiangwen ZHANG |
| author_sort | Jiacheng LIU |
| collection | DOAJ |
| description | Combining batteries and super capacitors into a composite power system (CPS) with an effective energy management strategy can significantly improve the energy utilization, and increase the service life of the energy storage system.To minimize the energy loss of the system, an energy management strategy based on the twin delayed deep deterministic policy gradient (TD3) algorithm was designed.Compared with the deep deterministic policy gradient (DDPG) algorithm, TD3 algorithm solved the problem of overestimation of Q value and less energy loss.A MATLAB/Simulink simulation model based on the TD3 algorithm was built, and tested with the electric vehicle driving equation and the equivalent circuit model of CPS.The outcomes indicate that the proposed energy management strategy can effectively reduce the impact of high current on the battery, and compared with DDPG algorithm, the energy utilization efficiency is improved by 1.36%, the peak of output current of the battery is reduced by 14.68%, the temperature rise of the battery is reduced by 3.52%, the total energy consumption of the system is reduced by 2.17%. |
| format | Article |
| id | doaj-art-8f6f7c6e8235479e8813a4256e7015e2 |
| institution | Kabale University |
| issn | 2096-6652 |
| language | zho |
| publishDate | 2022-06-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 智能科学与技术学报 |
| spelling | doaj-art-8f6f7c6e8235479e8813a4256e7015e22024-11-11T06:53:15ZzhoPOSTS&TELECOM PRESS Co., LTD智能科学与技术学报2096-66522022-06-01427728759640916TD3-based energy management strategy for hybrid energy storage system of electric vehicleJiacheng LIUXiangwen ZHANGCombining batteries and super capacitors into a composite power system (CPS) with an effective energy management strategy can significantly improve the energy utilization, and increase the service life of the energy storage system.To minimize the energy loss of the system, an energy management strategy based on the twin delayed deep deterministic policy gradient (TD3) algorithm was designed.Compared with the deep deterministic policy gradient (DDPG) algorithm, TD3 algorithm solved the problem of overestimation of Q value and less energy loss.A MATLAB/Simulink simulation model based on the TD3 algorithm was built, and tested with the electric vehicle driving equation and the equivalent circuit model of CPS.The outcomes indicate that the proposed energy management strategy can effectively reduce the impact of high current on the battery, and compared with DDPG algorithm, the energy utilization efficiency is improved by 1.36%, the peak of output current of the battery is reduced by 14.68%, the temperature rise of the battery is reduced by 3.52%, the total energy consumption of the system is reduced by 2.17%.http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202230electric vehicle;composite power system;energy management;deep reinforcement learning |
| spellingShingle | Jiacheng LIU Xiangwen ZHANG TD3-based energy management strategy for hybrid energy storage system of electric vehicle 智能科学与技术学报 electric vehicle;composite power system;energy management;deep reinforcement learning |
| title | TD3-based energy management strategy for hybrid energy storage system of electric vehicle |
| title_full | TD3-based energy management strategy for hybrid energy storage system of electric vehicle |
| title_fullStr | TD3-based energy management strategy for hybrid energy storage system of electric vehicle |
| title_full_unstemmed | TD3-based energy management strategy for hybrid energy storage system of electric vehicle |
| title_short | TD3-based energy management strategy for hybrid energy storage system of electric vehicle |
| title_sort | td3 based energy management strategy for hybrid energy storage system of electric vehicle |
| topic | electric vehicle;composite power system;energy management;deep reinforcement learning |
| url | http://www.cjist.com.cn/thesisDetails#10.11959/j.issn.2096-6652.202230 |
| work_keys_str_mv | AT jiachengliu td3basedenergymanagementstrategyforhybridenergystoragesystemofelectricvehicle AT xiangwenzhang td3basedenergymanagementstrategyforhybridenergystoragesystemofelectricvehicle |