Fuzzy Logic Control in Regenerative Braking System for Electric Vehicle
文献类型：会议论文
| 作者 | Hao Zhang; Guoqing Xu; Weimin Li; Meilan Zhou |
| 出版日期 | 2012 |
| 会议名称 | Information and Automation (ICIA), 2012 International Conference on |
| 会议地点 | 中国 |
| 英文摘要 | In this paper a regenerative braking energy recovery control strategy for electric vehicle (EV) based on fuzzy logic control is proposed. By analyzing the characteristic and the influence factors of the regenerative braking, the sugeno fuzzy logic controller (FLC) is established. Under assurance of braking safety and stability, the strategy distributes regenerative braking force and frictional braking force reasonably during braking, to make use of regenerative braking characteristic of motor as much as possible, so that much more kinetic energy can be converted into electric energy and stored in the battery. Model based on fuzzy logic control was established under the Matlab/Simulink environment and embedded into simulation software ADVISOR. Simulation experiments with different driving cycles were carried out, and the feasibility and effectiveness of fuzzy logic control strategy is tested with the state of charge (SOC) and braking energy recovery. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3818]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Hao Zhang,Guoqing Xu,Weimin Li,et al. Fuzzy Logic Control in Regenerative Braking System for Electric Vehicle[C]. 见:Information and Automation (ICIA), 2012 International Conference on. 中国. |
入库方式： OAI收割
来源：深圳先进技术研究院
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