关键词: 卡尔曼滤波；加速度估计；纯电动商用车；能量回收；汽车经济性

Abstract: The range anxiety problem is prominent for pure electric commercial vehicles, and dynamically adjusts the energy recovery intensity according to changes in vehicle speed and acceleration during braking on complex roads. Verified by actual range tests under mountain road conditions of a commercial vehicle enterprise, the economy is improved by 4%, which confirms the effectiveness of the proposed method and provides technical support for improving the range of pure electric commercial vehicles. optimizing energy regeneration is key to improving the driving range. Energy regeneration relies on accurate acceleration information; However, complex road conditions and sensor noise can easily cause data distortion, leading to misjudgment of energy management strategies and reducing economy and safety. Therefore, an energy regeneration algorithm based on fused acceleration information is proposed for pure electric commercial vehicles. Firstly, considering the computing power constraints of the vehicle controller, an acceleration estimation algorithm based on Kalman filtering is proposed to correct and optimize the original sensor data to reduce errors. Secondly, an energy recovery algorithm fused with corrected acceleration information is constructed, which

Key words: Kalman filter; acceleration estimation; pure electric commercial vehicle; energy recovery; vehicle economy