The invention aims to disclose a hybrid electric vehicle battery life optimization method considering a battery health state. The control method comprises two parts: a driving mode recognition moduleand a battery life optimization method. For the plug-in hybrid electric vehicle, the sum of the fuel consumption cost of each stage and the battery life attenuation cost considering the battery healthstate is taken as an optimization objective function, and solving is conducted based on a dynamic programming algorithm; the driving characteristic parameters are trained by adopting a random forestmodel to realize the identification of driving modes, a neural network controller isrespectively trained by utilizing corresponding optimization results under each driving mode, and a corresponding neural network-based energy management control strategy isestablished to realize the optimization of the service life of the battery. According to the method, real-time optimization of the service lifeof the battery is achieved, the driving mileage of the whole vehicle is increased, the fuel economy of the whole vehicle is guaranteed, meanwhile, the service life of the battery is prolonged, and theuse cost of the vehicle is reduced.
本发明旨在公开一种考虑电池健康状态的混合动力汽车电池寿命优化方法,该控制方法包括,驾驶模式识别模块和电池寿命优化方法两部分。针对插电式混合动力汽车,把每阶段的燃油消耗成本和考虑电池健康状态的电池寿命衰减成本总和作为优化目标函数,并基于动态规划算法进行求解;采用随机森林模型对行驶特征参数进行训练以实现驾驶模式的识别,利用各驾驶模式下对应的优化结果分别训练神经网络控制器,建立对应的基于神经网络的能量管理控制策略以实现电池寿命优化;本发明提出的方法实现了电池寿命实时优化,提高了整车行驶里程,在保证整车燃油经济性的同时提高了电池寿命,降低了车辆使用成本。
Hybrid electric vehicle battery life optimization method considering battery health state
一种考虑电池健康状态的混合动力汽车电池寿命优化方法
2021-01-05
Patent
Elektronische Ressource
Chinesisch
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