关键词: 增程式电动轻卡；电量等级；AMESim；能耗仿真

Abstract: In order to achieve electric balance and optimal energy consumption of extended range vehicle, it is necessary to calibrate and verify the engine start stop and power allocation strategies. However, calibration relies on the actual vehicle and cannot meet the needs of system selection and energy consumption status evaluation in the early design stage. To solve this problem, this paper adopts the AMESim physical model and strategy model joint simulation method to achieve virtual calibration and optimization of the vehicle's energy consumption prediction and energy management strategy, meeting the requirements of system selection and control strategy development based on energy consumption goals. This paper takes extended range electric light truck as the research object, with the goal of achieving pure electric range and optimal fuel consumption for electric balance. It introduces a power level classification strategy and designs a differentiated energy control strategy based on power level to meet the energy management requirements of different scenarios such as pure electric range, high load power demand, and power maintenance ability. Through strategy optimization and real vehicle verification, the goal of pure electric range greater than 120 km in Chinese operating conditions has been achieved, and the optimal fuel consumption design for operating on the best economic line and achieving electric balance has been achieved.

Key words: extended range electric light truck; electricity level; AMESim; energy consumption simulation