Abstract: Aiming at the problem that the conventional drive control strategy cannot cope with the load variation of pure electric mine car and the motor output torque cannot accurately express the driver's driving intention, this paper designs a torque optimization control strategy based on the fuzzy control theory. Firstly, the demand torque of pure electric mine car is divided into two parts: benchmark torque and dynamic compensation torque. The benchmark torque of pure electric mine car is determined by acceleration pedal opening, motor speed and load weight. The dynamic compensation torque is the output of driving intention fuzzy controller based on fuzzy control theory. The input of fuzzy controller is the deviation between expected speed and actual speed and the change rate of pedal opening. The actual demand torque of pure electric mine car is the sum of benchmark torque and dynamic compensation torque. The simulation model of driving control strategy of pure electric mine car is established in MATLAB/Simulink. The simulation results of optimized control strategy and traditional control strategy show that the optimized torque control strategy can effectively adapt to the load change of pure electric mine car, accurately identify the driver's driving intention, and improve the vehicle's power.

Key words: Pure electric mine car; Driving intention; Torque optimization; Fuzzy control; Compensating torque

摘要： 针对常规驱动控制策略无法应对纯电动矿车负载变化大、电机输出转矩不能准确表达 驾驶员驾驶意图的问题，文章以模糊控制理论为基础，设计了一种转矩优化控制策略。首先 将纯电动矿车的需求转矩分为基准转矩和动态补偿转矩两部分，通过加速踏板开度、电机转 速、负载质量确定纯电动矿车的基准转矩，动态补偿转矩是以模糊控制理论为基础的驾驶意 图模糊控制器的输出，模糊控制器的输入为期望车速与实际车速的偏差和踏板开度变化率， 纯电动矿车的实际需求转矩为基准转矩和动态补偿转矩的和。在 MATLAB/Simulink 中建立纯 电动矿车驱动控制策略仿真模型，通过优化控制策略与传统控制策略的仿真对比结果表明， 优化转矩控制策略能够有效适应纯电矿用车负载变化大、准确识别驾驶员的驾驶意图，提升 车辆的动力性。

关键词: 纯电动矿车；驾驶意图；转矩优化；模糊控制；补偿转矩