论文标题
混合动力汽车的最佳反馈控制器的设计和比较分析
Design and comparative analyses of optimal feedback controllers for hybrid electric vehicles
论文作者
论文摘要
本文提出了一种自适应等效消耗策略（ECM）和一种线性二次跟踪（LQT）方法，可在混合动力汽车（HEV）中最佳控制燃烧引擎和电动机的功率分解。目的是提供要求的扭矩，并最大程度地减少对服务制动器的燃油消耗和使用，但要受到执行器限制和电池充电状态（SOC）的限制。我们得出了一个用于计算最大可交付扭矩的函数，该功能与要求的扭矩尽可能接近，并通过切线或对数函数提出建模SOC约束，从而为ECMS和LQT提供了内部点。我们表明，由此产生的目标函数是凸，我们为给定参考的二阶近似提供了分析解决方案。我们还考虑使用简单的噪声模型来测量控制器对测量噪声的鲁棒性。比较了两个控制器的仿真结果，并讨论了它们的有效性。
This paper presents an adaptive equivalent consumption minimization strategy (ECMS) and a linear quadratic tracking (LQT) method for optimal power-split control of combustion engine and electric machine in a hybrid electric vehicle (HEV). The objective is to deliver demanded torque and minimize fuel consumption and usage of service brakes, subject to constraints on actuator limits and battery state of charge (SOC). We derive a function for calculating maximum deliverable torque that is as close as possible to demanded torque and propose modeling SOC constraints by tangent or logarithm functions that provide an interior point to both ECMS and LQT. We show that the resulting objective functions are convex and we provide analytic solutions for their second order approximation about a given reference. We also consider robustness of the controllers to measurement noise using a simple model of noise. Simulation results of the two controllers are compared and their effectiveness is discussed.
