The invention relates to a PHEV energy-saving driving control method considering battery life based on ensemble learning. The method comprises the following steps: S1, constructing a comprehensive driving condition data set; s2, acquiring a global optimal comprehensive energy efficiency cost and an optimal control decision data set; s3, discretely extracting the optimal energy consumption cost, the battery life cost and a current data set; s4, calculating the SOC of the battery according to the driving state of the vehicle; s5, establishing a comprehensive energy efficiency cost model considering the energy consumption cost and the battery life cost; s6, designing a layered energy-saving driving control architecture based on integrated learning; s7, the upper layer performs integrated learning-based economic vehicle speed optimization considering the battery life; and S8, the lower layer carries out power system energy management control according to the planned vehicle speed track. A neural network is utilized to establish a fusion energy efficiency cost model and a system state transition model which comprehensively consider energy consumption and battery life, a complex coupling relation between the energy consumption characteristic of the hybrid power system and the economic vehicle speed is efficiently decoupled, and the service life of the battery is prolonged.

    本发明涉及一种基于集成学习考虑电池寿命的PHEV节能驾驶控制方法,包括S1、构建综合行驶工况数据集;S2、获取全局最优综合能效成本和最优控制决策数据集;S3、离散提取最优能耗成本、电池寿命成本以及电流数据集;S4、根据车辆行驶状态计算电池SOC;S5、建立考虑能耗成本和电池寿命成本的综合能效成本模型;S6、设计基于集成学习的分层式节能驾驶控制架构;S7、上层进行基于集成学习考虑电池寿命的经济车速优化;S8、下层根据规划的车速轨迹进行动力系统能量管理控制。利用神经网络建立了综合考虑能耗、电池寿命的融合能效成本模型和系统状态转移模型,高效解耦了混合动力系统的能耗特性与经济车速之间存在的复杂的耦合关系,延长了电池的使用寿命。


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    Title :

    PHEV energy-saving driving control method considering battery life based on ensemble learning


    Additional title:

    一种基于集成学习考虑电池寿命的PHEV节能驾驶控制方法


    Contributors:
    LI JIE (author) / WU XIAOZHEN (author) / WU JIALE (author) / LI SHENGRONG (author) / LIU YONGGANG (author) / CHEN YONG (author)

    Publication date :

    2025-04-25


    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 / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion



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