关键词: 电驱桥；能量管理；卡尔曼滤波

Abstract: In the field of electric vehicles, single-speed and multi-speed dual-motor electric axle architectures have certain potential to improve vehicle performance, but the problem of energy consumption optimization is prominent. In this paper, a real-time estimation of motor efficiency and dynamic torque distribution strategy based on Kalman filter are proposed. As an efficient state estimation algorithm, extended Kalman filter (EKF) can fuse noisy measurement data to accurately extract motor operating status information. By constructing an extended Kalman filter observation model of motor efficiency-speed-torque, the efficiency characteristics of dual motors can be accurately estimated online. Combined with the dynamic programming algorithm, the torque of the dual motors is distributed with the goal of optimal system efficiency. Actual vehicle road tests have shown that the strategy can save 3.3% of electricity consumption compared to the proportional allocation strategy.

Key words: electric drive axle; energy management; Kalman filter