摘要
以并联式双能量源(锂电池组&超级电容)纯电动汽车为研究对象,提出一种改进的功率分配策略。这种功率分配策略在模糊控制的基础上增加深度神经网络训练过程,以获得更精确的功率分配因子。通过整车模型构建、功率分配模型构建、功率分配策略制定、仿真验证结果分析后得出结论:与电量消耗功率分配策略相比,这种改进的功率分配策略能优化锂电池组和超级电容二者之间的功率分流,限制锂电池组充放电的峰值电流,延长复合储能系统的工作寿命,提升动力系统的工作效率。
An improved power allocation strategy is proposed for a pure electric vehicle with dual-source energy storage system(lithium battery pack and super capacitor).Based on fuzzy logic control,this power allocation strategy increases the training process of deep neural network and obtains more accurate value of power allocation factor.Through model building,power allocation strategy formulation,simulation and comparison,it can be concluded that compared with the power allocation strategy of power consumption,this improved power allocation strategy can optimize the power diversion between lithium battery pack and supercapacitor,limit the peak current of lithium battery pack,prolong the lifespan of composite energy storage system and improve the working efficiency of power system.
作者
吕天阳
Lü Tianyang(Faculty of Transportation Engineering,Kunming University of Science and Technology,Kunming City,Yunnan Province 650500,China)
出处
《农业装备与车辆工程》
2020年第3期50-54,78,共6页
Agricultural Equipment & Vehicle Engineering
关键词
双能量源
纯电动汽车
功率分配
模糊控制
神经网络
dual-energy source
pure electric vehicle
power allocation
fuzzy logic
neural network
