APA (7th ed.) Citation

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 Style (17th ed.) Citation

Fu, Zhumu, Haocong Wang, Fazhan Tao, Baofeng Ji, Yongsheng Dong, and Shuzhong Song. "Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming." IEEE Transactions on Vehicular Technology 71, no. 7 (2022): 7171-7185. https://doi.org/10.1109/TVT.2022.3168870.

MLA (9th ed.) Citation

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, 2022, pp. 7171-7185, https://doi.org/10.1109/TVT.2022.3168870.