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Rollback Strategy for Remote Automotive ECU Upgrades Based on Improved Differential Algorithm
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Jie HU1, 2, 3, Jiahui DENG1, 2, 3, Wencai XU1, 2, Yie YUE4, Zhirong FAN4
Chinese Journal of Automotive Engineering | 2025, 15(4) : 497 - 507
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Chinese Journal of Automotive Engineering | 2025, 15(4): 497-507
• Intelligent & Connected Technologies Section/Editor in Chief：GAO Zhenhai •
Rollback Strategy for Remote Automotive ECU Upgrades Based on Improved Differential Algorithm
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Jie HU1, 2, 3, Jiahui DENG1, 2, 3, Wencai XU1, 2, Yie YUE4, Zhirong FAN4
Affiliations
  • 1 Hubei Key Laboratory of Advanced Technology for Automotive Components，Wuhan University of Technology，Wuhan 430070，China
  • 2 Hubei Technology Research Center of New Energy and Intelligent Connected Vehicle Engineering，Wuhan 430070，China
  • 3 Artificial Intelligence and New Energy Vehicle Modern Industrial College，Wuhan University of Technology，Wuhan 430070，China
  • 4 Dongfeng Motor Corporation Research & Development Institute，Wuhan 430058，China
Published: 2025-07-20 doi: 10.3969/j.issn.2095‒1469.2025.04.07
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To address the inefficiency and weak robustness of existing rollback methods when a remote update of automotive ECU fails, this paper designs an efficient and stable upgrade rollback strategy. Firstly, an optimized rollback backup method and a comprehensive security-verification strategy are proposed to enhance rollback stability. Then, to avoid the long duration of traditional full rollback, a differential rollback technique based on an improved Bsdiff algorithm is proposed. The improved algorithm can significantly increase rollback efficiency by using the higher-ratio LZMA2 (Lempel-Ziv-Markov chain-Algorithm 2) compression and optimizing the patch format. Finally, the proposed strategy is tested on real-vehicles. The results show that the rollback strategy using the improved differential algorithm reduces rollback time by 84.69%, and achieves a 100% test-case pass rate. The proposed strategy preserves vehicle functionality when an ECU upgrade fails while improving rollback efficiency.

over-the-air technology  /  Bsdiff algorithm  /  in-vehicle ECU  /  rollback strategy
Jie HU, Jiahui DENG, Wencai XU, Yie YUE, Zhirong FAN. Rollback Strategy for Remote Automotive ECU Upgrades Based on Improved Differential Algorithm[J]. Chinese Journal of Automotive Engineering, 2025 , 15 (4) : 497 -507 . DOI: 10.3969/j.issn.2095‒1469.2025.04.07
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doi: 10.3969/j.issn.2095‒1469.2025.04.07
  • Receive Date：2024-04-29
  • Online Date：2025-09-10
  • Published：2025-07-20
Article Data
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History
  • Received：2024-04-29
  • Revised：2024-06-20
Funding
Affiliations
    1 Hubei Key Laboratory of Advanced Technology for Automotive Components，Wuhan University of Technology，Wuhan 430070，China
    2 Hubei Technology Research Center of New Energy and Intelligent Connected Vehicle Engineering，Wuhan 430070，China
    3 Artificial Intelligence and New Energy Vehicle Modern Industrial College，Wuhan University of Technology，Wuhan 430070，China
    4 Dongfeng Motor Corporation Research & Development Institute，Wuhan 430058，China
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