A method for extraction of universal battery operating conditions in the region for on-board battery life prediction

Abstract

The invention discloses a method for extracting the operating condition of the universal battery in the region for the prediction of the service life of the vehicle battery. Shelving period; 2), data collection of actual working conditions in a certain area: real-time collection of battery operating information of different vehicles in the area through the electric vehicle management system; 3), voltage and SOC extraction: extract the operating voltage range and SOC of the battery according to the vehicle operating data Scope; 4), vehicle-mounted operating current extraction step: extract the throughput per unit time of the battery in this area; segment the operating current, and extract the frequency of occurrence of each segment operating current; combine the throughput and the frequency to obtain the throughput per unit time Operating current spectrogram; 5), extraction step of storage and operating temperature: obtain the ambient temperature of the battery in the area as the storage temperature of the battery, and calculate the operating temperature according to the relationship between the temperature rise of the vehicle and the initial temperature.

Description

technical field [0001] The invention relates to a method for extracting the operating conditions of a power battery, in particular to an extraction method based on the ambient temperature in a certain area and the operating conditions of a vehicle. Background technique [0002] With the development of the electric vehicle market, the sales of electric vehicles are increasing year by year, but there is no reliable method for predicting the life of on-board batteries on running vehicles. If an effective prediction method for on-board battery life can be proposed, it will be used in battery maintenance and quality assurance. On the one hand, it provides guidance for battery companies. [0003] The current research on battery life is mainly focused on the laboratory life, including the establishment of life models for shelf life, cycle life, and operating life. At present, the most common way to predict the life of on-board batteries is to extract a certain actual operating con...

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that the scope of application is narrow. Since the current of the on-board battery is in the form of pulses when the electric vehicle is running, and the operating conditions are related to road conditions and temperature, the actual working conditions are extracted to replace the universal working conditions in this area. The deviation will be larger

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