Author:
Feng Jian,Han Zhiyu,Li Minqing
Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. Aliramezani, M., Khademnahvi, M. and Delkhosh, M. (2018). Optimal energy management strategy of a hybrid electric vehicle considering engine noise. J. Vibration and Control 24, 23, 5546–5555.
2. Cao, J. and Xiong, R. (2017). Reinforcement learning-based real-time energy management for plug-in hybrid electric vehicle with hybrid energy storage system. Energy Procedia, 142, 1896–1901.
3. Feng, J., Han, Z., Gao, X., Wu, Z. and Sun, Y. (2019). Energy consumption analysis of a range-extender electric vehicle based on a dynamic programming algorithm and road conditions. Tongji Daxue Xuebao/J. Tongji University, 47, 115–119.
4. Feng, J., Han, Z., Wu, Z. and Li, M. (2022). A dynamic ECMS method considering vehicle speed pattern and minimum engine operation time for a range-extender electric vehicle. IEEE Trans. Vehicular Technology 71, 5, 4788–1800.
5. Guo, H., Jiang, J. and Wang, Z. (2009). Estimating the state of charge for Ni-MH battery in HEV by RBF neural network. Int. Workshop on Intelligent Systems and Applications, Wuhan, China.
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