Method and device for estimating SOC of battery, storage medium and vehicle

Abstract

The invention provides a method and a device for estimating the SOC of a battery, a storage medium and a vehicle. The method comprises the steps of: obtaining the initial SOC value of the initial charging and discharging stage of a battery through an open-circuit voltage method; acquiring current data of charging and discharging of the battery, and performing ampere-hour integration according to the current data based on the rated capacity of the battery to obtain a theoretical SOC variation; and detecting real-time battery capacity influence parameters, obtaining a capacity correction coefficient according to the battery capacity influence parameters, correcting the theoretical SOC variation according to the capacity correction coefficient to obtain an actual SOC variation, and obtainingan SOC estimated value of the battery according to the initial SOC value and the actual SOC variation. According to the method and the device for estimating the SOC of a battery, the capacity correction coefficient is obtained through the real-time battery capacity influence parameters, the available capacity of the battery is dynamically corrected, and the estimation accuracy of the SOC is improved.

Description

technical field [0001] The present invention relates to the technical field of vehicles, in particular to a method and device for estimating battery SOC, a computer-readable storage medium and a vehicle. Background technique [0002] As people pay more attention to the environment, new energy vehicles have been rapidly developed and popularized, and improving the various performances of new energy vehicles during use is a problem that needs attention. [0003] For pure electric vehicles and hybrid vehicles, the state of charge (SOC, State of Charge) of the battery is one of the important parameters of the vehicle control system, which represents the percentage of the remaining capacity of the battery to the actual maximum available capacity. How to improve the estimation accuracy of battery SOC is an important issue in the development of new energy vehicles. In order to estimate SOC accurately and efficiently, many SOC estimation methods have been developed over the years, ...

AI Technical Summary

Problems solved by technology

The closed-loop estimation methods mainly include Kalman filtering (KF, Kalman filtering), particle filtering algorithm (PF, Particle filtering), sliding mode observer (SMO, Sliding-mode observer) and various extension methods. The accuracy of these methods is relatively low. High, but the amount of calculation is large, the model is more complex, and the hardware requirements for the control unit are higher

[0004] In related technologies, some schemes obtain the estimated value of battery SOC by using the calculation method combining the open circuit voltage method and the ampere-hour integral method, resulting in a large error in the estimated SOC value.

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