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Research on core technology of regenerative braking for electric vehicles based on intelligent road condition recognition algorithm

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  • Zhiqiang Xu

Abstract

This research takes the intelligent road condition recognition algorithm as the core to explore the optimisation path of electric vehicle feedback braking technology. By adjusting the conduction sequence of the inverter switch tube, the precise control of the braking reverse torque is realised, and the braking kinetic energy is efficiently fed back to the energy storage components. The simulation and experimental results show that the technology can improve the braking energy recovery efficiency of electric vehicles by 18%-22%, and increase the endurance mileage by 15%-18% under urban conditions. As the key technology of vehicle intelligence, intelligent road condition recognition algorithm can not only improve driving safety, but also provide real-time road condition data for the cooperative operation of on-board systems and optimise the overall control logic of the system. The research adopts the method of literature research, combined with theoretical analysis and experimental verification, to ensure the feasibility and logic of the technical scheme, and provide practical support for improving the energy efficiency of electric vehicles.

Suggested Citation

  • Zhiqiang Xu, 2026. "Research on core technology of regenerative braking for electric vehicles based on intelligent road condition recognition algorithm," International Journal of Energy Technology and Policy, Inderscience Enterprises Ltd, vol. 21(3), pages 213-227.
    • Handle: RePEc:ids:ijetpo:v:21:y:2026:i:3:p:213-227
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