Control Systems for Hybrid Electric Vehicle
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-85424-9_5
Reference22 articles.
1. https://afdc.energy.gov/vehicles/how-do-hybrid-electric-cars-work
2. Hemi, H., Ghouili, J., & Cheriti, A. (2013). A real time energy management for electrical vehicle using combination of rule-based and ECMS. In 2013 IEEE electr. Power energy conf. IEEE (p. 1–6). https://doi.org/10.1109/EPEC.2013.6802927.
3. Li, Q., Su, B., Pu, Y., Han, Y., Wang, T., Yin, L., et al. (2019). A state machine control based on equivalent consumption minimization for fuel cell/supercapacitor hybrid tramway. IEEE Transactions on Transportation Electrification, 5, 552–564. https://doi.org/10.1109/TTE.2019.2915689
4. Song, K., Li, F., Hu, X., He, L., Niu, W., Lu, S., et al. (2018). Multi-mode energy management strategy for fuel cell electric vehicles based on driving pattern identification using learning vector quantization neural network algorithm. Journal of Power Sources, 389, 230–239. https://doi.org/10.1016/j.jpowsour.2018.04.024
5. Tran, D.-D.. Renewable and sustainable energy reviews. https://doi.org/10.1016/j.rser.2019.109596.
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1. Intelligent Learning Algorithm and Intelligent Transportation-Based Energy Management Strategies for Hybrid Electric Vehicles: A Review;IEEE Transactions on Intelligent Transportation Systems;2023-10
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