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Discussion | Open Access

Future role of artificial intelligence in advancing transportation electrification

Hongyi Lin1Yiping Yan1( )Qixiu Cheng2
School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
University of Bristol Business School, University of Bristol, Bristol, BS8 1QU, UK
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References

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Gao, Y., Zhang, X., Guo, B., Zhu, C., Wiedemann, J., Wang, L. et al., 2020. Health-aware multiobjective optimal charging strategy with coupled electrochemical-thermal-aging model for lithium-ion battery. IEEE Trans Ind Inform, 16, 3417–3429.

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Hang, P., Xia, X., Chen, G., Chen, X., 2022. Active safety control of automated electric vehicles at driving limits: A tube-based MPC approach. IEEE Trans Transp Electrif, 8, 1338–1349.

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Mohammadi, M., Heydari, S., Fajri, P., Harirchi, F., Yi, Z., 2022. Energy-aware driving profile of autonomous electric vehicles considering regenerative braking limitations. In: 2022 IEEE Transportation Electrification Conference & Expo (ITEC), 196–201.
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Journal of Intelligent and Connected Vehicles
Pages 183-186
Cite this article:
Lin H, Yan Y, Cheng Q. Future role of artificial intelligence in advancing transportation electrification. Journal of Intelligent and Connected Vehicles, 2023, 6(3): 183-186. https://doi.org/10.26599/JICV.2023.9210020

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Received: 08 September 2023
Revised: 14 September 2023
Accepted: 18 September 2023
Published: 30 September 2023
© The author(s) 2023.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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