A joint optimization method for component parameters and control parameters of p2 hybrid electric vehicle

Abstract

The invention discloses a joint optimization method for component parameters and control parameters of a P2 hybrid electric vehicle, aiming to solve the problems that the component parameters and control parameters are usually considered separately in the design of the existing P2 hybrid electric power system, resulting in that the design results cannot be optimized. The control parameters are embedded in the outer component parameter optimization as the inner layer optimization. The outer layer optimization gives a set of component parameters that satisfy the dynamic constraints, and the inner layer optimization traverses all the control parameter combinations to calculate the minimum fuel that satisfies the energy balance constraints at the beginning and end of the simulation. Cost, and then obtain the comprehensive cost of components and fuel under the set of component parameters, and traverse all component parameters to obtain the optimal comprehensive cost and the corresponding optimal component parameters and control parameters. The invention obtains optimal component parameters and control parameter values ​​that comprehensively consider component cost and fuel cost through joint optimization, shortens the cycle of P2 hybrid vehicle component parameter and control design, and ensures the optimality of design results.

Description

technical field [0001] The invention relates to the technical field of power transmission and control of hybrid electric vehicles, in particular to a joint optimization method for P2 hybrid electric vehicle component parameters and control parameters. Background technique [0002] The design of component parameters and control parameters plays a decisive role in whether the hybrid vehicle can give full play to the advantages of energy saving and emission reduction. To simplify the complexity of the design problem, most of the current literature considers these two aspects separately, resulting in the final design results are often sub-optimal. With the development of hybrid power theory and application technology, the joint consideration of component parameters and control parameters has become the development trend of hybrid power system design problems. [0003] Some existing patents, such as the invention patent with the patent number of CN 110667566 B, proposes a hybrid...

AI Technical Summary

Problems solved by technology

Although the invention combines and optimizes the component parameters and control parameters, the component parameters only consider the single component of the transmission, ignoring the design problems of key component parameters such as the engine, motor, and battery in the hybrid system, and the final design results are also Doesn't take component cost into account

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