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Automotive Engineering ›› 2020, Vol. 42 ›› Issue (9): 1166-1173.doi: 10.19562/j.chinasae.qcgc.2020.09.004

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Vehicle Speed Control of Electric Vehicle Driving Robot Based on Inverse Control Strategy Model

Chu Cancan, Wang Dong, Zhang Weigong, Xu Tong   

  1. School of Instrument Science and Engineering, Southeast University, Nanjing 210096
  • Online:2020-09-25 Published:2020-10-19

Abstract: For meeting the requirements of driving robot in using accelerator pedal travel to achieve the speed following of electric vehicle, a vehicle speed control scheme based on inverse control strategy model is proposed. The scheme introduces the model for vehicle control strategy on the basis of the speed control circuit of traditional longitudinal kinetics, and transforms the original vehicle speed control by electric motor torque into that by accelerator pedal travel, and hence reduces the risk of retrofitting the original vehicle to driving robot and thus enhances robot applicability. The results of dynamometer test show that compared with manual driving, the control method proposed effectively increases the accuracy of vehicle speed tracking with an error not more than±1 km/h, meeting the national standard for electric vehicle test

Key words: electric vehicle driving robot, inverse control strategy model, vehicle speed control, dynamometer test