摘要
基于Advisor2002在Matlab/Simulink环境下搭建复合电源纯电动汽车仿真模型,分别设计了基于模糊控制和模糊神经网络的复合电源的功率分配策略,分别在CYC-ECE和CYC-UDDS道路循环工况下进行仿真。仿真结果表明,复合电源中蓄电池的放电电流明显减小,SOC变化减缓,增加了汽车的续驶里程,验证了复合电源的优越性;基于模糊神经网络的功率分配策略能更好的实现功率分配,超级电容能更好地发挥主动调节作用。
The simulation model of battery electric vehicle （BEV） with hybrid power supply was buih in Matlab/ Simulink based on Advisor2002. Two power allocation strategies based on fuzzy control and fuzzy neural network were designed and simulated in CYC-ECE and CYC-UDDS road conditions respectively. The results show that the discharging current of the battery of the hybrid power supply is significantly reduced, SOC changes mitigate, and the car＇s driving range is increased, verifying advantage of the hybrid power supply; power allocation strategy based on fuzzy neural network can achieve a better power distribution and uhraeapacitors can play a better proactive regulatory role in the system.
出处
《汽车技术》
CSCD
北大核心
2018年第1期51-55,共5页
Automobile Technology
基金
辽宁省科技计划联合基金项目(2015020047)
关键词
电动汽车
复合电源
功率分配
模糊控制
模糊神经网络
Electric vehicle, Hybrid power supply, Power allocation, Fuzzy control, Fuzzyneural network
