Optimized fuzzy logic control strategy for parallel hybrid electric vehicle based on genetic algorithm
文献类型：期刊论文
| 作者 | Zhou Meilan; Lu Dengke; Li Weimin; Xu Huifeng |
| 刊名 | Applied Mechanics and Materials
 |
| 出版日期 | 2013 |
| 英文摘要 | For PHEV energy management, in this paper the author proposed an EMS is that based on the optimization of fuzzy logic control strategy. Because the membership functions of FLC and fuzzy rule base were obtained by the experience of experts or by designers through the experiment analysis, they could not make the FLC get the optimization results. Therefore, the author used genetic algorithm to optimize the membership functions of the FLC to further improve the vehicle performance. Finally, simulated and analyzed by using the electric vehicle software ADVISOR, the results indicated that the proposed strategy could easily control the engine and motor, ensured the balance between battery charge and discharge and as compared with electric assist control strategy, fuel consumption and exhaust emissions have also been reduced to less than 43.84%. |
| 收录类别 | EI |
| 原文出处 | http://www.scientific.net/AMM.274.345 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4420]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | Applied Mechanics and Materials |
| 推荐引用方式 GB/T 7714 | Zhou Meilan,Lu Dengke,Li Weimin,et al. Optimized fuzzy logic control strategy for parallel hybrid electric vehicle based on genetic algorithm[J]. Applied Mechanics and Materials,2013. |
| APA | Zhou Meilan,Lu Dengke,Li Weimin,&Xu Huifeng.(2013).Optimized fuzzy logic control strategy for parallel hybrid electric vehicle based on genetic algorithm.Applied Mechanics and Materials. |
| MLA | Zhou Meilan,et al."Optimized fuzzy logic control strategy for parallel hybrid electric vehicle based on genetic algorithm".Applied Mechanics and Materials (2013). |
入库方式： OAI收割
来源：深圳先进技术研究院
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