Artificial Intelligence-Based Energy Management and Real-Time Optimization in Electric and Hybrid Electric Vehicles
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-85424-9_12
Reference36 articles.
1. Mohd, T. A. T., Hassan, M. K., Aris, I., Azura, C. S., & Ibrahim, B. S. K. K. (2017). Application of fuzzy logic in multi-mode driving for a battery electric vehicle energy management. International Journal on Advanced Science, Engineering and Information Technology, 7(1), 284–290.
2. Moreno, J., Ortúzar, M. E., & Dixon, J. W. (2006). Energy-management system for a hybrid electric vehicle, using ultracapacitors and neural networks. IEEE Transactions on Industrial Electronics, 53(2), 614–623.
3. Alloui, H., Becherif, M., & Marouani, K. (2013, June). Modelling and frequency separation energy management of fuel cell-battery hybrid sources system for hybrid electric vehicle. In 21st Mediterranean Conference on Control and Automation (pp. 646–651). IEEE.
4. Xiong, R., Chen, H., Wang, C., & Sun, F. (2018). Towards a smarter hybrid energy storage system based on battery and ultracapacitor-A critical review on topology and energy management. Journal of Cleaner Production, 202, 1228–1240.
5. Hu, Y., Li, W., Xu, K., Zahid, T., Qin, F., & Li, C. (2018). Energy management strategy for a hybrid electric vehicle based on deep reinforcement learning. Applied Sciences, 8(2), 187.
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