Multi-objective optimization design method for hybrid thermal management system based on regression model algorithm

Abstract

The invention relates to a multi-objective optimization design method for a hybrid thermal management system based on a regression model algorithm. The multi-objective optimization design method comprises the following steps: 1) determining design parameters of a battery pack hybrid thermal management system; 2) determining a value range of each design parameter according to an actual vehicle-mounted working condition; (3) orthogonally generating a combination of a plurality of design parameters after each design parameter is valued in the value range at equal intervals; 4) performing an experiment on each design parameter combination to obtain a target parameter value, and forming a small-range experiment test sample by each design parameter combination and the corresponding target parameter value; 5) constructing a neural network regression model, training and evaluating the accuracy; 6) inputting a design parameter combination in an actual design process into the trained neural network regression model for prediction; 7) screening according to the predicted target parameter value to obtain an optimal design parameter combination. Compared with the prior art, the method is high in practicability and reliability, and heat safety and working efficiency are balanced.

Description

technical field [0001] The invention relates to the technical field of thermal management of lithium-ion power batteries, in particular to a multi-objective optimization design method for a hybrid thermal management system of a vehicle-mounted lithium-ion power battery pack based on a regression model algorithm. Background technique [0002] Lithium-ion power batteries are widely used in 3C electronic products, pure electric and hybrid vehicles due to their advantages of high specific energy and low self-discharge rate. Safety issues, aging inconsistencies caused by temperature inconsistencies between battery cells in battery packs and even battery modules have also become more prominent. [0003] In order to improve the temperature control effect of the thermal management system, a hybrid thermal management system is currently used, but simply increasing the flow / speed / thickness of the phase change material of the coolant cannot effectively alleviate the problems of overhea...

AI Technical Summary

Problems solved by technology

[0002] Lithium-ion power batteries are widely used in 3C electronic products, pure electric and hybrid vehicles due to their advantages of high specific energy and low self-discharge rate. Safety issues, aging inconsistencies caused by temperature inconsistencies between battery cells and battery modules in battery packs are also becoming more prominent

[0003] In order to improve the temperature control effect of the thermal management system, a hybrid thermal management system is currently used, but simply increasing the flow / speed / thickness of the phase change material of the coolant cannot effectively alleviate the problems of overheating and uneven temperature distribution, and will also reduce the power consumption and quality of the system. Therefore, it is particularly important to optimize the design of the hybrid thermal management system of lithium-ion power batteries, and to appropriately select the heat exchange medium parameters of the hybrid thermal management system

Images