Translated Title
Study on Parameters Matching for Range Extended Electric Vehicles Based on Statistic Law of Driving Conditions
Translated Abstract
Based on analysis of coupling relationship among acceleration ability, climbing ability, maximum speed, transmission gears and driving motor parameters, key power components parameters matching and selec-tion of Extended-range Electric Vehicles (e-revs) drive system is carried out. Finally e-revs vehicle simulation model is established with Matlab/simulink to simulate and verify the dynamic and economy performance under electric mode. The dynamic performance of the 0-50km/h acceleration time was 4.24 seconds, overtaking 50-80km/h acceleration time is 7.16 seconds, pure electric mode mileage is about 83.86km, the vehicle energy consumption per hundred kilometers is about 14.516kwh. The results show that key power components meet the dynamic performance and economy matching requirement.
Translated Keyword
control strategy
optimizing
parameters matching
range extended electric vehicle
Access Number
WF:perioarticalgcyj201703008
