Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles
Energy management strategy (EMS) is a key issue for hybrid energy storage system (HESS) in electric vehicles. By innovatively introducing the current speed information, the vehicle speed optimized fuzzy energy management strategy (VSO-FEMS) for HESS is proposed in this paper. Firstly, the pruned fuz...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/2073901 |
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| author | Xizheng Zhang Zhangyu Lu Ming Lu |
| author_facet | Xizheng Zhang Zhangyu Lu Ming Lu |
| author_sort | Xizheng Zhang |
| collection | DOAJ |
| description | Energy management strategy (EMS) is a key issue for hybrid energy storage system (HESS) in electric vehicles. By innovatively introducing the current speed information, the vehicle speed optimized fuzzy energy management strategy (VSO-FEMS) for HESS is proposed in this paper. Firstly, the pruned fuzzy rules are formulated by the SOC change of battery and super-capacitor to preallocate the required power of vehicle. Then, the real-time vehicle speed is used to optimize the pre-allocated results based on the principle of vehicle dynamics, so as to realize the optimal allocation of required power. To validate the proposed VSO-FEMS strategy for HESS, simulations were done and compared with other EMSs under the typical urban cycle in China (CYC-CHINA). Results show that the final SOC of battery and super-capacitor are optimized in varying degrees, and the total energy consumption under the VSO-FEMS strategy is 2.43% less than rule-based strategy and 1.28% less than fuzzy control strategy, which verifies the effectiveness of the VSO-FEMS strategy. |
| format | Article |
| id | doaj-art-defd4972babe4de78f998f1abf8fb3b4 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-defd4972babe4de78f998f1abf8fb3b42025-02-03T06:46:47ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/20739012073901Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric VehiclesXizheng Zhang0Zhangyu Lu1Ming Lu2School of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan 411104, ChinaSchool of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan, Hunan 411104, ChinaSchool of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411104, ChinaEnergy management strategy (EMS) is a key issue for hybrid energy storage system (HESS) in electric vehicles. By innovatively introducing the current speed information, the vehicle speed optimized fuzzy energy management strategy (VSO-FEMS) for HESS is proposed in this paper. Firstly, the pruned fuzzy rules are formulated by the SOC change of battery and super-capacitor to preallocate the required power of vehicle. Then, the real-time vehicle speed is used to optimize the pre-allocated results based on the principle of vehicle dynamics, so as to realize the optimal allocation of required power. To validate the proposed VSO-FEMS strategy for HESS, simulations were done and compared with other EMSs under the typical urban cycle in China (CYC-CHINA). Results show that the final SOC of battery and super-capacitor are optimized in varying degrees, and the total energy consumption under the VSO-FEMS strategy is 2.43% less than rule-based strategy and 1.28% less than fuzzy control strategy, which verifies the effectiveness of the VSO-FEMS strategy.http://dx.doi.org/10.1155/2020/2073901 |
| spellingShingle | Xizheng Zhang Zhangyu Lu Ming Lu Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles Complexity |
| title | Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles |
| title_full | Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles |
| title_fullStr | Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles |
| title_full_unstemmed | Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles |
| title_short | Vehicle Speed Optimized Fuzzy Energy Management for Hybrid Energy Storage System in Electric Vehicles |
| title_sort | vehicle speed optimized fuzzy energy management for hybrid energy storage system in electric vehicles |
| url | http://dx.doi.org/10.1155/2020/2073901 |
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