Fuzzy Energy Management Strategy for Battery Electric Vehicles Considering Driving Style Recognition
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1068-3_36
Reference13 articles.
1. Mo, T., Li, Y., Lau, K., et al.: Trends and emerging technologies for the development of electric vehicles. Energies 15(17), 6271 (2022)
2. Dong, P., Zhao, J., Liu, X., et al.: Practical application of energy management strategy for hybrid electric vehicles based on intelligent and connected technologies: development stages, challenges, and future trends. Renew. Sustain. Energy Rev. 170, 112947 (2022)
3. Bingham, C., Walsh, C., Carroll, S.: Impact of driving characteristics on electric vehicle energy consumption and range. IET Intel. Transport Syst. 6(1), 29–35 (2012)
4. Sun, B., Deng, W., Wu, J., et al.: Research on the classification and identification of driver’s driving style. In: 2017 10th International Symposium on Computational Intelligence and Design (ISCID), vol. 1, pp. 28–32. IEEE (2017)
5. Murphey, Y.L., Milton, R., Kiliaris, L.: Driver’s style classification using jerk analysis. In: 2009 IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, pp. 23–28. IEEE (2009)
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