A parameter optimization method based on Pareto optimality under the condition of dual-model configuration and multi-objective

Abstract

The invention relates to a parameter optimization method based on Pareto optimality under the condition of dual-mode configuration and multi-objective, belonging to the field of new energy vehicles. The method includes: S1: Constructing the steady-state dynamic equations in different configuration modes of the dual-mode configuration and the mode switching strategy based on maximizing transmission efficiency; S2: Constructing the transient dynamic equations of the hybrid power transmission system taking into account the moment of inertia of the components ; S3: Based on the dynamic programming algorithm, the economic evaluation index including the economic cost related to the working condition and the cost of the transmission system components, as well as the dynamic evaluation index quantified by the acceleration time of 100 kilometers are constructed; S4: Constructed by Chebyshev's aggregation method The multi-objective optimization function, based on the multi-objective evolutionary algorithm MOEA / D, obtains the optimal Pareto frontier of the relevant economic cost of the dual-model configuration, the cost of the power transmission system components, and the dynamic performance with the acceleration performance as the evaluation index. The invention provides wider design space for configuration optimization.

Description

technical field [0001] The invention belongs to the field of new energy vehicles and relates to a parameter optimization method based on Pareto optimality under the condition of dual-mode configuration and multi-objective. Background technique [0002] Vehicle hybridization is considered to be one of the most practical solutions to improve vehicle fuel economy at present. Among the various configuration designs of hybrid electric vehicles, the power split configuration is the most promising solution in the current market. According to different power split points, it can be further divided into input type power split, output type power split and composite power split. Due to the flexible speed ratio relationship and the existence of multiple degrees of freedom, the planetary gear train is usually used as a power split device in the transmission system of a hybrid electric vehicle. It can split the engine power into an electrical path and a mechanical path to drive the vehicl...

AI Technical Summary

Problems solved by technology

However, the nonlinear coupling of multiple performance objectives including configuration economy and dynamics complicates the optimal design of the power-split HEV powertrain

[0003] For multi-objective optimization problems, multiple conflicting objectives are usually combined in a specific weighted manner to form a single objective function for the subsequent optimization process. The optimality of the optimization objective mainly depends on the selection of the weight vector. When the design requirements occur When changed, the design process needs to be restarted, which significantly increases the uncertainty of the design process

In addition, when the Pareto boundary is non-convex, it is difficult for traditional weight-based methods to find the optimal solution

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