A health prediction method and system for a new energy vehicle battery

Abstract

The invention discloses a health prediction method and system for a new energy vehicle battery. The method comprises the following steps that: carrying out data analysis processing on vehicle data obtained in real time to obtain vehicle working condition data; independently executing data cleaning, data conversion and data reduction processing on the vehicle working condition data; on the basis of the vehicle working condition data subjected to data preprocessing, adopting a factor analysis method to extract data which influences a battery health degree, adopting a supervised learning method to mine a potential relationship between the data which influences the battery health degree and the vehicle working condition data, and constructing an initial battery health prediction model; carrying out model evaluation and algorithm optimization on the initial battery health prediction model to obtain an optimal battery monitoring prediction model, and finishing battery health prediction under a practical working condition. By use of the method, the dynamic prediction of the health state of the new energy vehicle battery is realized, the dynamic property and the economy of the vehicle can be improved, and the method has the advantages of being simple in operation and easy in implementation.

Description

technical field [0001] The invention relates to the field of power batteries, in particular to a battery health prediction method for new energy vehicles, which can predict the health of the power battery and is helpful for judging the power and economy of the vehicle. Background technique [0002] The rapid development of the economy has made environmental and resource problems more and more serious. In order to solve this problem, new energy vehicles have become the main direction of the development of the automobile industry. Among them, the key component of new energy vehicles is the power battery. The health of the power battery has a major impact on the power and economy of the vehicle. Therefore, the correct prediction of the health of the power battery can help the power and economy of the vehicle. sex judgments. [0003] Nowadays, in the field of power batteries, in order to realize the prediction of the health of power batteries, the method of building a battery p...

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Problems solved by technology

[0004] Aiming at the difficulty of current new energy battery health prediction, one of the technical problems to be solved in the present invention is to provide a method that can not only efficiently clean, convert and reduce the dimension of the vehicle operating condition data obtained in real time, but also can mine the battery The potential relationship between health data and vehicle operating condition data, constructing a battery monitoring health prediction model related to vehicle operating condition data, so that it is not limited by the complexity of road conditions, and can also realize the dynamic prediction of the battery health status of new energy vehicles

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