Battery state monitoring method, edge processor, system and storage medium

Abstract

The invention discloses a battery state monitoring method, an edge processor, a system and a storage medium. The method comprises: receiving real-time running data, collected by a battery management system, of a battery and calculating battery state data by the battery management system according to the real-time running data and a battery model; correcting parameters of the battery model according to the real-time running data and the battery state data to obtain corrected parameters; on the basis of the real-time running data, verifying the corrected parameters; and after successful verification, returning the corrected parameters to the battery management system, verifying the corrected parameters again by the battery management system, and updating the corrected parameters to the battery model after successful verification again to monitor the battery state by using the updated battery model. Therefore, the accuracy of the battery model is ensured; and the working state of the battery can be monitored accurately by using the battery model, so that the safe operation of the battery is guaranteed.

Description

technical field [0001] The invention relates to the technical field of power batteries, in particular to a battery state monitoring method, an edge processor, a system and a storage medium. Background technique [0002] Power batteries are an important part of electric vehicles, especially pure electric vehicles, which are the only power to drive vehicles. Among them, the state of charge data (SOC, State of charge) of the battery is one of the important parameters to characterize the state of the battery. The cruising range of the vehicle can be estimated through the state of charge data, so as to prevent the vehicle from breaking down during driving or the battery from being over-discharged. The battery itself is damaged; therefore, accurate calculation of state-of-charge data is an important guarantee for battery safety. [0003] Currently, battery algorithms are commonly used to calculate the state of charge. However, in the process of implementing the present invention...

AI Technical Summary

Problems solved by technology

However, in the process of implementing the present invention, the inventors found that the prior art has at least the following technical problems: on the one hand, the accuracy of the battery algorithm depends on the accuracy of the battery model, however, in the case of battery aging or extreme environments, the battery The parameters of the model no longer match the cells, and the external characteristics of the battery model are quite different from those of the cells; on the other hand, due to the limited computing resources of the battery management system (BMS, Battery management system), it is difficult for the battery management system to utilize the Real-time operation data to correct the parameters of the battery model; therefore, in the case of battery aging or extreme environments, the accuracy of the battery model decreases, resulting in excessive calculation errors of the state of charge data, making it difficult to accurately monitor the working status of the battery

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