Mechanical-electrical composite transmission minimum principle real-time optimization control method

Abstract

The present invention discloses a mechanical-electrical composite transmission minimum principle real-time optimization control method, and relates to the mechanical-electrical composite transmission minimum principle real-time optimization control method possessing an adjoint state on-line adjusting function. An optimal control strategy u*(t) is used to distribute the target powers of different power parts reasonably, so that the fuel economy is best. A minimum principle is applied to solve a target function of a system energy management control strategy, and the concrete form can be represented as follows. For a two-point boundary value solution problem, a loop iteration selection p (t) method is applied to obtain a global optimal control strategy and keep a battery pack state variable to satisfy the following relation: the absolute value of (x (tf)-x(t0)) <=delta. According to the system state, the on-line adjustment is carried out on the adjoint state in an optimization problem real-timely, thereby guaranteeing the adaptivity of an optimization result for the vehicle driving environment change and driver driving behavior difference. The parts of the present invention all work in a reasonable range, and the state transformation is more stable, so that the situation that the dynamic response of the elements can track an optimal track real-timely is guaranteed.

Description

technical field [0001] The invention relates to an electromechanical compound transmission minimum value principle real-time optimization control method with an accompanying state online adjustment function, in particular to an electromechanical compound transmission minimum value principle real-time optimization control method. Background technique [0002] The dual-mode electromechanical compound transmission scheme has a higher degree of integration in terms of function and structure, and a compact mechanism. It is possible to achieve smaller volume, lighter weight and higher transmission efficiency. Since there are multiple power components such as engine and motor in the system, whether the power distribution between each power component can be controlled in a balanced and coordinated manner is the key to the energy-saving potential of the system, and its control effect directly determines the comprehensive performance of the electromechanical hybrid transmission system....

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Problems solved by technology

[0003] There are many methods of optimization-based control strategies, such as dynamic programming method, genetic algorithm, equivalent fuel consumption algorithm, etc., by solving the optimization model to obtain the working state of each component, the optimal or nearly optimal control effect can be obtained, but the large Most of the optimization control methods face the problem of large amount of calculation in the solution process or poor adaptability of the algorithm

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