双电机驱动系统预测控制策略
Predictive power management for dual motor propulsion system
为了进一步提高双电机耦合系统驱动的纯电动客车的工作效率,本文根据双电机行星耦合驱动系统的效率模型提出了一种基于速度预测的控制策略.这种控制策略根据当前汽车的加速/减速状态预测未来一段时间的车速,基于预测的车速,用动态规划的方法对未来的控制策略进行优化设计,并根据优化的结果实时的控制两个电机的转速或转矩.所使用的速度预测模型的参数根据19个工况的数据进行了优化,然后再根据优化后的参数对车速进行预测.与原来的基于规则的控制策略相比,所提出的控制策略能够减少14.1%的能量损失.
o further improve the efficience performance of a dual motor driving electric bus, this paper proposed a predictive power management based on the system's efficiency model. This control strategy will predict a period of futher vehicle velocity, then dynamic programming will be applied to optimize the control strategy based on the predicted vehicle velocity. After that, the output torque or speed of the two motors will be controlled according to the optimized control strategy. The paramenters of the velocity prediction model is optimized according the date of 19 driving cycles. Compared with original rule based control strategy, the new power mangement can reduce the enegy loss by 17.453%.
张承宁、张硕、王志福
公路运输工程自动化技术、自动化技术设备能源动力工业经济
纯电动汽车双电机控制策略速度预测模型参数优化
Battery electric vehicledual motorspower managementvelocity predictorparameter optimization
张承宁,张硕,王志福.双电机驱动系统预测控制策略[EB/OL].(2015-12-15)[2025-08-16].http://www.paper.edu.cn/releasepaper/content/201512-788.点此复制
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