Energy Management in Power-Split Hybrid Electric Vehicles Using Fuzzy Logic Controller
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38387-8_18
Reference11 articles.
1. Homepage – U.S. Energy Information Administration (EIA).
2. Wu, J., Ruan, J., Zhang, N., & Walker, P. D. (May 2019). An optimized real-time energy management strategy for the power-split hybrid electric vehicles. IEEE Transactions on Control Systems Technology, 27(3), 1194–1202. https://doi.org/10.1109/TCST.2018.2796551
3. Syed, F. U., Ying, H., Kuang, M., Okubo, S., & Smith, M. (2006). Rule-based fuzzy gain-scheduling PI controller to improve engine speed and power behavior in a power-split hybrid electric vehicle. Annual Conference of the North American Fuzzy Information Processing Society – NAFIPS, 284–289. https://doi.org/10.1109/NAFIPS.2006.365423
4. Zhang, J., Shen, T., & Kako, J. (2020). Short-term optimal energy management of power-split hybrid electric vehicles under velocity tracking control. IEEE Transactions on Vehicular Technology, 69(1), 182–193. https://doi.org/10.1109/TVT.2019.2950042
5. Montazeri-Gh, M., & Mahmoodi-k, M. (2015). Development a new power management strategy for power split hybrid electric vehicles. Transportation Research Part D: Transport and Environment, 37, 79–96. https://doi.org/10.1016/J.TRD.2015.04.024
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