Robust L2 based PI controller design for voltage regulation of auxiliary power units in electric vehicles through polytopic modeling
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DOI: 10.1016/j.energy.2025.136657
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- Saxena, Vivek & Sahu, Santosh K. & Kundalwal, Shailesh I. & Tsai, Peichun Amy, 2025. "Enhanced thermal management system for Li-ion batteries using phase change material and liquid cooling under realistic driving cycles," Energy, Elsevier, vol. 318(C).
- Fu, Shiyi & Tao, Shengyu & Fan, Hongtao & He, Kun & Liu, Xutao & Tao, Yulin & Zuo, Junxiong & Zhang, Xuan & Wang, Yu & Sun, Yaojie, 2024. "Data-driven capacity estimation for lithium-ion batteries with feature matching based transfer learning method," Applied Energy, Elsevier, vol. 353(PA).
- Lipeng, Zhang & Xin, Liu & Shuaishuai, Liu & Haoran, Guo & Kaixin, Shi, 2024. "Low energy consumption traction control for centralized and distributed dual-mode coupling drive electric vehicle on split ramps," Energy, Elsevier, vol. 289(C).
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