Adaptive Energy Management Strategy for Extended-Range Electric Vehicle Based on Micro-Trip Identification
In order to improve the fuel economy of an extended-range electric vehicle with the engine-generator, an adaptive energy management strategy has been proposed in this paper. First, micro-trip decomposition analysis of the standard driving cycles are conducted, and these micro trips are classified as...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9205211/ |
| _version_ | 1819172960991182848 |
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| author | Xiaodong Wu Yanhao Gu Min Xu |
| author_facet | Xiaodong Wu Yanhao Gu Min Xu |
| author_sort | Xiaodong Wu |
| collection | DOAJ |
| description | In order to improve the fuel economy of an extended-range electric vehicle with the engine-generator, an adaptive energy management strategy has been proposed in this paper. First, micro-trip decomposition analysis of the standard driving cycles are conducted, and these micro trips are classified as four kinds of driving patterns by K-means clustering method. Second, an optimal energy allocation for the engine-generator and battery is designed by Pontryagin's minimum principle (PMP). The proposed approach should realize the energy management and maintain the battery in a charge sustaining mode. Third, an online optimal control is conducted by a micro-trip identification algorithm. By utilizing the clustering driving patterns, the adaptive energy management strategy is achieved by the selection of optimal PMP co-state variable. Finally, the experimental performance comparisons for different control strategies and driving cycles are investigated to shown the efficiency of proposed controller. |
| first_indexed | 2024-12-22T20:15:29Z |
| format | Article |
| id | doaj.art-b8b47c2bda044be9af76fa7e3b677ac6 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T20:15:29Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b8b47c2bda044be9af76fa7e3b677ac62022-12-21T18:13:59ZengIEEEIEEE Access2169-35362020-01-01817655517656410.1109/ACCESS.2020.30264199205211Adaptive Energy Management Strategy for Extended-Range Electric Vehicle Based on Micro-Trip IdentificationXiaodong Wu0https://orcid.org/0000-0002-0096-3830Yanhao Gu1Min Xu2Institute of Automotive Engineering, Shanghai Jiao Tong University, Shanghai, ChinaSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaInstitute of Automotive Engineering, Shanghai Jiao Tong University, Shanghai, ChinaIn order to improve the fuel economy of an extended-range electric vehicle with the engine-generator, an adaptive energy management strategy has been proposed in this paper. First, micro-trip decomposition analysis of the standard driving cycles are conducted, and these micro trips are classified as four kinds of driving patterns by K-means clustering method. Second, an optimal energy allocation for the engine-generator and battery is designed by Pontryagin's minimum principle (PMP). The proposed approach should realize the energy management and maintain the battery in a charge sustaining mode. Third, an online optimal control is conducted by a micro-trip identification algorithm. By utilizing the clustering driving patterns, the adaptive energy management strategy is achieved by the selection of optimal PMP co-state variable. Finally, the experimental performance comparisons for different control strategies and driving cycles are investigated to shown the efficiency of proposed controller.https://ieeexplore.ieee.org/document/9205211/Extended-range electric vehiclemicro-trip identificationadaptive energy management strategyPontryagin’s minimum principle |
| spellingShingle | Xiaodong Wu Yanhao Gu Min Xu Adaptive Energy Management Strategy for Extended-Range Electric Vehicle Based on Micro-Trip Identification IEEE Access Extended-range electric vehicle micro-trip identification adaptive energy management strategy Pontryagin’s minimum principle |
| title | Adaptive Energy Management Strategy for Extended-Range Electric Vehicle Based on Micro-Trip Identification |
| title_full | Adaptive Energy Management Strategy for Extended-Range Electric Vehicle Based on Micro-Trip Identification |
| title_fullStr | Adaptive Energy Management Strategy for Extended-Range Electric Vehicle Based on Micro-Trip Identification |
| title_full_unstemmed | Adaptive Energy Management Strategy for Extended-Range Electric Vehicle Based on Micro-Trip Identification |
| title_short | Adaptive Energy Management Strategy for Extended-Range Electric Vehicle Based on Micro-Trip Identification |
| title_sort | adaptive energy management strategy for extended range electric vehicle based on micro trip identification |
| topic | Extended-range electric vehicle micro-trip identification adaptive energy management strategy Pontryagin’s minimum principle |
| url | https://ieeexplore.ieee.org/document/9205211/ |
| work_keys_str_mv | AT xiaodongwu adaptiveenergymanagementstrategyforextendedrangeelectricvehiclebasedonmicrotripidentification AT yanhaogu adaptiveenergymanagementstrategyforextendedrangeelectricvehiclebasedonmicrotripidentification AT minxu adaptiveenergymanagementstrategyforextendedrangeelectricvehiclebasedonmicrotripidentification |