Energy efficiency optimization method for air cooling system of self-adaptive asynchronous particle swarm power battery pack

Abstract

The invention discloses a power battery pack air cooling system energy efficiency optimization method based on a self-adaptive asynchronous particle swarm algorithm. The method comprises the followingsteps of determining optimization design variables, specifically, the design variables comprising four parameters including first cooling fan air speed vv1, second cooling fan air speed v2, third cooling fan air speed vv3 and fourth cooling fan air speed v4; determining an optimization design target, wherein the system is single-target optimization, and the optimization target is that the temperature difference between the battery module with the maximum temperature and the battery module with the minimum temperature in the nine battery modules in the power battery pack cooling system is minimum; determining an optimization limiting condition; optimizing design variables. According to the invention, the adaptive asynchronous particle swarm optimization is improved and applied to the air cooling system of the power battery of the electric vehicle, so that the energy efficiency of the cooling fan of the air cooling system is optimized, the energy consumption is reduced, and the use effect of the air cooling system is improved.

Description

technical field [0001] The invention belongs to the field of automobile design and manufacture, and relates to an energy efficiency optimization control method for a cooling system of a power battery pack, in particular to an energy efficiency optimization method for an air cooling system of a power battery pack based on an adaptive asynchronous particle swarm algorithm. Background technique [0002] Electric vehicles have developed rapidly in recent years, but with the increase in ownership, the safety problems of electric vehicles have become increasingly prominent. According to statistics, the power battery pack of electric vehicles is the main source of safety problems of electric vehicles, and the safety problems of power battery packs of electric vehicles mainly come from Overcharge and overdischarge, wading, collision, thermal runaway and other factors. This patent mainly studies the key issues of power battery thermal management. There are three main heat dissipation...

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Problems solved by technology

[0004] Purpose of the invention: In order to solve the problem that the existing control method of the cooling system of the electric vehicle power battery system does not maximize the energy efficiency of the fan, to provide an energy efficiency optimization of the power battery pack air cooling system based on the adaptive asynchronous particle swarm optimization algorithm method

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