The invention discloses an energy recovery method based on PSO-SVM (Particle Swarm Optimization-Support Vector Machine) working condition identification. The energy recovery method comprises the following steps: collecting current driving data; loading the PSO-SVM working condition prediction model, and inputting driving data to the PSO-SVM working condition prediction model; obtaining a braking working condition type and a braking torque from the PSO-SVM working condition prediction model; and selecting an energy recovery control strategy according to the braking working condition type, and executing energy recovery. According to the technical scheme, the optimal recovery strategy for energy recovery can be formulated, the automobile in the braking process is safer, and the energy recovery effect is better.

    本发明公开了一种基于PSO‑SVM工况识别的能量回收方法,包括以下步骤:采集当前行车数据;加载PSO‑SVM工况预测模型,向PSO‑SVM工况预测模型输入行车数据;从PSO‑SVM工况预测模型获取制动工况类型和制动力矩;根据制动工况类型,选择能量回收控制策略,执行能量回收。根据上述技术方案,可以制定能量回收的最优的回收策略,并使制动过程中的汽车更安全,能量回收效果更好。


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    Title :

    Energy recovery method and device based on PSO-SVM (Particle Swarm Optimization-Support Vector Machine) working condition identification


    Additional title:

    一种基于PSO-SVM工况识别的能量回收方法和装置


    Contributors:
    ZHENG WEIGUANG (author) / LI HAIQIAO (author) / GUO KUI (author) / LIANG LIDONG (author) / TAN JIRONG (author) / XU XIAOHONG (author) / MA QIUXIANG (author)

    Publication date :

    2023-08-29


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung