基于载荷和坡道识别的纯电动客车自适应换挡策略研究

Research on Adaptive Shift Strategy of Pure Electric Bus Based on Load and Slope Identification

针对车辆载荷和道路坡度难以实时准确测量的问题,运用无迹卡尔曼滤波算法设计了整车质量和道路坡度联合估计算法,快速有效地估计整车质量和道路坡度,并根据实时辨识结果,采用线性插值的方式构建自适应换挡策略实现了电动汽车换挡规律的动态修正,实车试验结果表明,该算法能够有效地避免因车辆载荷或道路坡度变化带来的车辆意外换挡和换挡循环问题。

To solve the problem that it is difficult to accurately measure vehicle load and road slope in real time,a vehicle mass and road slope estimation algorithm is clesigned by using the unscented Kalman filter algorithm,that can quickly and effectively estimate the vehicle load and road slope.According to the real-time identification results of vehicle load and road slope,an adaptive shift strategy is constructed by using linear interpolation to realize the dynamic modification of the static shift strategy of electric vehicles.The real vehicle test results show that the algorithm can effectively avoid accidental shifting and shifting cycles caused by changes of vehicle load or road slope.