Bms temperature control method based on adaptive dynamic optimization and related equipment

Abstract

The application relates to the technical field of energy storage system control, and provides a BMS temperature control method based on adaptive dynamic optimization and related equipment. Temperature data and working condition data are acquired through an intelligent sensor; an electro-thermal coupling model of a battery in a charging and discharging process is constructed based on geometric parameters, material parameters and electrochemical parameters of the battery; the highest temperature inside the battery and a battery health parameter at a preset time are predicted based on the temperature data, the working condition data and the electro-thermal coupling model; dynamic temperature control parameters are generated based on a temperature gradient determined according to the highest temperature and the battery health parameter; and temperature control instructions are generated based on the temperature data and the dynamic temperature control parameters. Through acquisition of comprehensive data and combination of the electro-thermal coupling model, the battery temperature change and the health state can be predicted in advance, the dynamic temperature control parameters are generated, the temperature control instructions are formed, the battery temperature can be accurately and dynamically controlled, the safety and performance of the battery under complex working conditions can be effectively guaranteed, and the intelligent level of battery management is improved.

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