Lead-acid power battery system fault diagnosis method

Abstract

The invention provides a lead-acid power battery system fault diagnosis method. The method involves an off-line part and an on-line part. The method includes the specific steps that in the off-line state, data are collected through a simulation model, the data are preprocessed by using a normalization method, a data classification training set and a testing set of a power battery system of a support vector machine are obtained, parameter adaptive optimization is conducted through a GA algorithm, a one-to-one method is used for training to obtain a diagnostic model of the support vector machine, and SVM decision classification is conducted; in the on-line state, a fault generating device is used for simulating fault signals, the signals are collected through a collection module, the data are preprocessed by using the normalization method, the data are further input into an SVM module in off-line training, and fault online classification based on an SVM algorithm is conducted. According to the lead-acid power battery system fault diagnosis method, intelligent off-line and on-line diagnosis of faults of the battery system can be achieved, and meanwhile the fault diagnosis recognition rate is increased.

Description

technical field [0001] This patent belongs to the field of fault diagnosis of new energy vehicle systems, and in particular relates to a lead-acid power battery system fault diagnosis method based on GA optimal parameter support vector machine (SVM: Support Vector Machine). Background technique [0002] Electric vehicles are an important development direction of the future automobile industry. The power battery system is an important part of electric vehicles, and its safety and reliability are directly related to the safe driving of people and vehicles. However, at this stage, the failure of the power battery system cannot be diagnosed quickly, accurately, and intelligently, which will affect the normal driving of the vehicle, and even cause some safety hazards, which pose a great threat to the driver's safety. [0003] Too many parameters in the battery system bring great difficulties to the development of the fault diagnosis function. How to judge its fault quickly, accu...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the defects of low judgment recognition rate and insufficient intelligence in the existing power battery system fault diagnosis technology, and propose a fault diagnosis method for lead-acid power battery system

Images