Battery service life estimating method, system and vehicle

Abstract

The invention discloses a battery service life estimating method, a system and a vehicle, wherein the battery service life estimating method comprises the following steps of calculating a capacity attenuation rate of the battery; obtaining the pre-estimated value of residual cycle number-of-times of the battery according to the capacity attenuation rate, the battery capacity in a current battery cycle and a preset service life terminating capacity; and obtaining the pre-estimated value of the total cycle number-of-times of the battery according to the current battery cycle number-of-times andthe pre-estimated value of the residual cycle number-of-times. According to the battery service life estimating method, the pre-estimated value of the residual cycle number-of-times of the battery canbe obtained according to the capacity attenuation rate of the battery, the battery capacity in the current battery cycle and the preset service life terminating capacity. Furthermore, the pre-estimated value of the total cycle number-of-times of the battery can be accurately calculated according to the current battery cycle number-of-times and the pre-estimated value of the residual cycle number-of-times. Therefore the service life of the battery can be accurately estimated.

Description

technical field [0001] The invention relates to the technical field of automobiles, in particular to a battery life estimation method, system and vehicle. Background technique [0002] There are more and more electric vehicles, and the power battery is very important for electric vehicles. As the number of charge and discharge increases, the power battery will decay. When the decay reaches a certain level (for example: the end of life of the power battery is usually defined as the capacity decay 80% of the initial capacity), the battery is considered unusable and requires maintenance and replacement. In order to understand the life of the battery more clearly and intuitively, it is necessary to predict the life of the battery. By predicting the life of the battery pack in advance, you can know the state of the battery in advance and perform necessary maintenance to reduce attenuation and repair in time. [0003] In related technologies, battery life prediction can be mainly...

AI Technical Summary

Problems solved by technology

In the research process of life prediction, researchers will make full use of the battery model, but the battery model needs to establish multi-dimensional parameters and define each parameter in detail. This is always a very complicated work, and the prediction results often differ from the actual situation. large discrepancies, i.e. the predictions are not accurate

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