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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part D. Journal of Automobile Engineering >Optimization of control strategy for a single-shaft parallel hybrid electric vehicle
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Optimization of control strategy for a single-shaft parallel hybrid electric vehicle

机译：单轴并联混合动力电动汽车控制策略的优化

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摘要

An optimal control strategy is obtained for a parallel hybrid electric vehicle (HEV). Scale factors in weighting the motor usage are selected as the control variables on how to distribute the demanded vehicle power into the electric motor and the internal combustion engine. Dynamic models of the HEV powertrain are represented by state space equations. In order to find the optimal control strategy, an optimization problem is defined, which finds the optimal control variables to minimize the fuel consumption while satisfying the constraint equations. The optimization problem is solved using the HEV performance simulator developed in MATLAB Simulink and the mathematical optimization sequential quadratic programming algorithm which is based on FORTRAN for multi-variables design optimization. It is expected that the optimization method proposed in this study provides the control strategy of the HEV systematically, which minimizes the fuel consumption.
机译：获得了并联混合动力电动汽车（HEV）的最佳控制策略。选择权重电动机使用量的比例因子作为关于如何将所需车辆功率分配到电动机和内燃机中的控制变量。 HEV动力总成的动态模型由状态空间方程表示。为了找到最佳控制策略，定义了一个优化问题，该问题找到最佳控制变量以在满足约束方程的同时使燃料消耗最小。使用在MATLAB Simulink中开发的HEV性能模拟器和基于FORTRAN的数学优化顺序二次编程算法（用于多变量设计优化）解决了优化问题。可以预期的是，本研究提出的优化方法可以系统地提供混合动力汽车的控制策略，从而将燃油消耗降至最低。

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