Abstract: In view of the complicated working conditions of electric tractors, the optimized energy management control strategy has the problems of strong dependence on working conditions, lagging control, and not suitable for realtime control of tractor operations. Three typical rulebased energy management strategies have been formulated. The results of the joint simulation of Amesim and Matlab/Simulink: under road transportation conditions, the battery output current of the logic threshold control strategy is relatively smooth, and the internal resistance consumption is the lowest. Compared with the electric tractor with one power supply, the internal resistance consumption of the battery using the logic threshold control strategy is reduced by 8.92%. Under plowing conditions, the battery output current based on the fuzzy control strategy is relatively concentrated in a small interval, and the internal resistance is relatively small. The resistance consumption is also the lowest, which is reduced by 3.77% compared to the singlepower electric tractor. Studies have shown that enhancing the robustness of the energy management strategy of electric tractors can effectively improve its economic efficiency.

Key words: pure electric tractor, dual power supply, logic threshold, fuzzy control, energy management

摘要： 针对电动拖拉机作业工况复杂，而基于优化的能量管理控制策略存在对工况依赖性强、控制滞后、不适合拖拉机作业实时控制的问题，制定3种典型的基于规则的能量管理策略，通过Amesim和Matlab/Simulink联合仿真。结果表明：在道路运输工况下，逻辑门限的控制策略的蓄电池输出电流比较平缓，内阻消耗最低，相对于单电源电动拖拉机，内阻消耗降低8.92%；在犁耕工况下，基于模糊的控制策略的蓄电池输出电流相对保持在较小的区间，而且内阻消耗也最低，相对于单电源电动拖拉机降低3.77%。研究表明，增强电动拖拉机能量管理策略的鲁棒性，才能有效地提高其经济性。

关键词: 纯电动拖拉机, 复合电源, 逻辑门限, 模糊控制, 能量管理