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Weight scheduling model predictive control for gear shift of a 2-speed electric vehicle

机译:2速电动汽车变速的权重调度模型预测控制

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A weight scheduling model predictive controller is proposed for gear shift of an electric vehicle with a 2-speed I-AMT. In the inertia phase, the contradictory control objectives of less friction work and smooth transmission output torque are included in the objective function, which aims to improve shift quality. In order to trade off contradictory requirements, a set of suitable weighting factors are chosen to solve this gear shift control problem. The designed weight scheduling model predictive controller is tested with a complete simulation model of powertrain system in the nominal conditions under different acceleration commands and in the changed conditions. The simulation results verified that the proposed controller can provide satisfactory performance even under uncertainties of vehicle mass and road grade.
机译:提出了一种用于2速I-AMT的电动汽车换档的权重调度模型预测控制器。在惯性阶段,目标功能中包含了较少的摩擦功和平稳的变速器输出扭矩的矛盾控制目标,目的是提高换档质量。为了权衡矛盾的要求,选择一组合适的加权因子来解决该变速控制问题。在动力条件下,在不同加速指令和变化条件下的标称条件下,使用完整的动力总成仿真模型对设计的重量计划模型预测控制器进行了测试。仿真结果验证了所提出的控制器即使在车辆质量和道路坡度不确定的情况下也能提供令人满意的性能。

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