Author:
Liu Shengyong,Wu Minghui,Chen Junlin,Ding Lei,Pang Dongsheng
Publisher
Springer Nature Singapore
Reference8 articles.
1. Zhang, R.D., Tao, J.L.: GA-based fuzzy energy management system for FC/SC-powered HEV considering H2 consumption and load variation. IEEE Trans. Fuzzy Syst. 26(4), 1833–1843 (2018). (in Chinese)
2. Liu, J.C., ChenY, Z., Zhan, J.Y., Shang, F.: Heuristic dynamic programming based online energy management strategy for plug-in hybrid electric vehicles. IEEE Trans. Vech. Technol. 68(5), 4479–4493 (2019)
3. Xiaosong, H., Keping, C., Xiaolin, T., Bin, W.: Research on parallel hybrid electric vehicle energy management based on machine learning speed prediction. Chinese J. Mech. Eng. 56(16), 181–192 (2020)
4. Li, P., Zhu, X., Jiao, X.: Energy management strategy for parallel hybrid electric vehicles based on intelligent optimization rules. J. Yanshan University 43(6), 546–553 (in Chinese) (2019)
5. Wenran, G., Diming, L., Tong, Z.: Multi-objective energy management strategy for hybrid electric vehicles based on particle swarm optimization. J. Tongji University (Natural Science Edition) 48(7), 1030–1039 (2020). (in Chinese)