Parameter Optimization Methods of the Hydraulic Regenerative Braking System Based on the Actual Working Condition

Abstract

AbstractHydraulic regenerative braking system is a kind of complex MIMO (Multiple Input Multiple Output) system which is strongly nonlinear and multivariable, especially affected observably by the working condition. Moreover, it possesses the typical hybrid system characteristics since there are a multitude of nonlinear components internal which should result to continuous dynamic variation and discrete decision process. Hence, the traditional calculating method is difficult to analyze and evaluate the system accurately while operating on the actual working conditions. In order to solve the parameters optimization problem of the system which has significantly hybrid system characteristics constrained by the actual working conditions, this paper presents a new type of genetic algorithm by solving fitness function based on operation simulation, which provides a promising full condition optimization method for parameter optimization according to this kind of system. Simulation results show that this algorithm could optimize system configuration and enhance 3% for the braking energy recovery efficiency.