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DIRECT METHOD FOR OPTIMAL POWER MANAGEMENT IN HYBRID ELECTRIC VEHICLES

机译:混合动力汽车最优功率管理的直接方法

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摘要

Hybrid electric vehicles are powered by an electric system and an internal combustion engine. The components of a hybrid electric vehicle need to be coordinated in an optimal manner to deliver the desired performance. This paper presents an approach based on direct method for optimal power management in hybrid electric vehicles with inequality constraints. The approach consists of reducing the optimal control problem to a set of algebraic equations by approximating the state variable which is the energy of electric storage, and the control variable which is the power of fuel consumption. This approximation uses orthogonal functions with unknown coefficients. In addition, the inequality constraints are converted to equal constraints. The advantage of the developed method is that its computational complexity is less than that of dynamic and non-linear programming approaches. Also, to use dynamic or non-linear programming, the problem should be discretized resulting in the loss of optimization accuracy. The propsed method, on the other hand, does not require the discretization of the problem producing more accurate results. An example is solved to demonstrate the accuracy of the proposed approach. The results of Haar wavelets, and Chebyshev and Legendre polynomials are presented and discussed.
机译:混合动力电动汽车由电力系统和内燃机提供动力。混合动力电动汽车的组件需要以最佳方式进行协调,以提供所需的性能。本文提出了一种基于直接方法的不等式约束混合动力汽车最优功率管理方法。该方法包括通过逼近状态变量(即蓄电能量)和控制变量(即燃料消耗功率),将最优控制问题简化为一组代数方程式。该近似使用具有未知系数的正交函数。另外,不等式约束转换为相等约束。所开发方法的优点在于其计算复杂度小于动态和非线性编程方法。另外,要使用动态或非线性编程,应将问题离散化,从而导致优化精度下降。另一方面,建议的方法不需要将问题离散化即可产生更准确的结果。解决了一个例子,以证明所提出方法的准确性。介绍和讨论了Haar小波,Chebyshev和Legendre多项式的结果。

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