Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming.

MLA

Fu, Zhumu, et al. “Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming.” IEEE Transactions on Vehicular Technology, vol. 71, no. 7, July 2022, pp. 7171–85. EBSCOhost, https://doi.org/10.1109/TVT.2022.3168870.

APA

Fu, Z., Wang, H., Tao, F., Ji, B., Dong, Y., & Song, S. (2022). Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming. IEEE Transactions on Vehicular Technology, 71(7), 7171–7185. https://doi.org/10.1109/TVT.2022.3168870

Chicago

Fu, Zhumu, Haocong Wang, Fazhan Tao, Baofeng Ji, Yongsheng Dong, and Shuzhong Song. 2022. “Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming.” IEEE Transactions on Vehicular Technology 71 (7): 7171–85. doi:10.1109/TVT.2022.3168870.