Optimization control strategy of driving torque for slope-crossing of pure electric vehicles
1. School of Mechanical Engineering， Nanjing University of Science and Technology， Nanjing， Jiangsu 210094， China； 2. Nanjing IVECO Automobile Co., Ltd.， Nanjing， Jiangsu 211800， China
Abstract：To slove the problem of insufficient driving torque during the slope-crossing of pure electric vehicles, a control strategy was proposed based on road slope with acceleration pedal change rate as input and compensation torque as output. A slope recognition algorithm was adopted to effectively identify the real road slope. Vehicle model and control algorithm model were established in Matlab/Simulink for simulation analysis. The vehicle acceleration and climbing performance was simulated under 4% slope condition, and the speeds under the two control strategies were compared. The results show that the torque optimization control strategy can better identify the driver′s driving intent. For the optimized torque control strategy, the acceleration time is 10.65 s at the speed from 0 to 50 km·h-1, which is 11.62% lower than that of the basic torque control strategy. The uphill acceleration time is 8.60 s at the speed from 50 to 80 km·h-1, which is 14.85% lower than that of the reference torque control strategy. The optimal torque control strategy can effectively improve the acceleration and climbing performance.
张金成1， 王陶1, 王良模1, 邹小俊2, 宋伟2. 纯电动汽车坡道行驶驱动转矩优化控制策略[J]. 江苏大学学报（自然科学版）, 2021, 42(5): 506-512.
ZHANG Jincheng1, WANG Tao1, WANG Liangmo1, ZOU Xiaojun2, SONG Wei2. Optimization control strategy of driving torque for slope-crossing of pure electric vehicles[J]. Journal of Jiangsu University(Natural Science Eidtion)
, 2021, 42(5): 506-512.
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2021, Vol. 42 
