Battery Management System-Based Fuzzy Logic
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53717-2_5
Reference17 articles.
1. Lipu, M.H., et al.: Intelligent algorithms and control strategies for battery management system in electric vehicles: progress, challenges and future outlook. J. Clean. Prod. 292, 126044 (2021)
2. Xiong, R., Li, L., Tian, J.: Towards a smarter battery management system: a critical review on battery state of health monitoring methods. J. Power. Sources 405, 18–29 (2018)
3. Shen, M., Gao, Q.: A review on battery management system from the modeling efforts to its multiapplication and integration. Int. J. Energy Res. 43(10), 5042–5075 (2019)
4. Li, W., Rentemeister, M., Badeda, J., Jöst, D., Schulte, D., Sauer, D.U.: Digital twin for battery systems: cloud battery management system with online state-of-charge and state-of-health estimation. J. Energy Storage 30, 101557 (2020)
5. Liu, K., Li, K., Peng, Q., Zhang, C.: A brief review on key technologies in the battery management system of electric vehicles. Front. Mech. Eng. 14(1), 47–64 (2019)
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