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Optimal Clutch Torque Prediction for Shifting Process of Dual Clutch Transmission Based on Support Vector Regression

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Abstract

To overcome the difficulty of real-time optimization during shifting process for dual clutch transmission, a clutch optimal torque prediction method based on Support Vector Regression is proposed. Firstly, a shifting dynamic model of dual clutch transmission system is established. Afterwards, the maximum jerk, friction work and shifting time are weighted and summed as an objective function for the optimization problem, weighting factors of which are determined by driving intention. Meanwhile, the clutch torque is formulated by a Fourier series, coefficients of which during shifting process are optimized by Genetic Algorithm. Subsequently, the data-driven controller is trained by Support Vector Regression to predict the optimal clutch torque in real time during shifting process. Finally, the prediction accuracy of the Support Vector Regression method is verified by simulation and experiment. The results show that the Support Vector Regression algorithm has high accuracy in predicting the optimal clutch torque during shifting process. Consequently, the online optimal control can be realized with the assistance of the optimal torque prediction.

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Acknowledgement

This work was founded in part by the National Science Foundation of China (No. U1764259), In part by the National Key R&D Program of China (2019YFE0121300), and in part by Chongqing Fundamental Research and Frontier Exploration Project (No. cstc2019jcyj-msxmx0668).

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Authors and Affiliations

  1. State Key Laboratory of Mechanical Transmissions & College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing, 400044, China

    Yonggang Liu, Jingchen Zhang & Zhihang Chen

  2. School of Mechanical and Power Engineering, Chongqing University of Science & Technology, Chongqing, 401331, China

    Qi Huang

  3. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming, 650500, China

    Zheng Chen

  4. School of Engineering and Materials Science, Queen Mary University of London, London, El 4NS, UK

    Zheng Chen

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  1. Yonggang Liu
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  2. Jingchen Zhang
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  3. Qi Huang
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  4. Zheng Chen
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  5. Zhihang Chen
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Correspondence to Zhihang Chen.

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Liu, Y., Zhang, J., Huang, Q. et al. Optimal Clutch Torque Prediction for Shifting Process of Dual Clutch Transmission Based on Support Vector Regression. Int.J Automot. Technol. 23, 1073–1084 (2022). https://doi.org/10.1007/s12239-022-0094-y

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  • DOI: https://doi.org/10.1007/s12239-022-0094-y

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