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Open-source dataset of vehicle state for an electric vehicle on a low-adhesion road

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  • Published: 29 January 2022
  • Volume 65, article number 137201, (2022)
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Open-source dataset of vehicle state for an electric vehicle on a low-adhesion road
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  • Shuo Cai1,2,
  • Haitao Ding1,
  • Yunfeng Hu1,2,
  • Lin Zhang3,
  • Qin Li4,5 &
  • …
  • Hong Chen2,3 

  • 449 Accesses

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. U1864206, 61790564) and Shanghai Automotive Engineering Technology Development Foundation (Grant No. 1752).

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Authors and Affiliations

  1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, 130025, China

    Shuo Cai, Haitao Ding & Yunfeng Hu

  2. Department of Control Science and Engineering, Jilin University, Changchun, 130025, China

    Shuo Cai, Yunfeng Hu & Hong Chen

  3. School of Automotive Studies, Tongji University, Shanghai, 201804, China

    Lin Zhang & Hong Chen

  4. Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing Institute of Technology, Beijing, 100081, China

    Qin Li

  5. GAC R&D Center, Guangzhou, 511434, China

    Qin Li

Authors
  1. Shuo Cai
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  2. Haitao Ding
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  3. Yunfeng Hu
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  4. Lin Zhang
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  5. Qin Li
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  6. Hong Chen
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Corresponding author

Correspondence to Haitao Ding.

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Cite this article

Cai, S., Ding, H., Hu, Y. et al. Open-source dataset of vehicle state for an electric vehicle on a low-adhesion road. Sci. China Inf. Sci. 65, 137201 (2022). https://doi.org/10.1007/s11432-020-3200-5

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  • Received: 09 March 2020

  • Accepted: 06 April 2020

  • Published: 29 January 2022

  • DOI: https://doi.org/10.1007/s11432-020-3200-5

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