Charge state correction and prediction method based on electric vehicle charging big data

Abstract

The invention discloses a charge state correction and prediction method based on electric vehicle charging big data. The charge state correction and prediction method comprises the following steps: firstly, acquiring electric vehicle battery sensor charging data and preprocessing the electric vehicle battery sensor charging data in a big data platform; then, correcting the SOC value of the state of charge at each moment in the battery charging process through the big data platform, and obtaining the corrected current SOC continuous value; and finally, based on the corrected SOC continuous value, utilizing the residual error correction model to predict the real SOC value of the battery. Thus, the correction method is provided to solve the problem that the charging SOC value of the big data platform is inaccurate, a residual error correction model is provided for the application, and compared with a single model, the real SOC value of the battery is predicted. the model provided by the invention can better predict the SOC value.

Description

technical field [0001] The invention relates to the field of new energy vehicle batteries, in particular to a state-of-charge correction and prediction method based on electric vehicle charging big data. Background technique [0002] With the development of new energy technology and big data, the integration and application of new energy vehicles and vehicle big data has become an inevitable result of the development requirements of the times. What emerges as the times require is the new energy vehicle big data platform. Monitoring and management of electric vehicles, including the collection of power battery parameters. However, the SOC value of the battery is mostly obtained by analyzing the BMS message. Due to the policy problem of the manufacturer's battery, the SOC value of the big data platform at this time is not the real SOC value. Therefore, there are certain calculation applications based on the SOC of the big data platform. Errors, the accumulation of errors will...

AI Technical Summary

Problems solved by technology

However, the SOC value of the battery is mostly obtained by analyzing the BMS message. Due to the battery strategy of the manufacturer, the SOC value of the big data platform at this time is not the real SOC value. Therefore, there are certain calculations and applications based on the SOC of the big data platform. Errors, the accumulation of errors will affect the accurate monitoring and management of electric vehicles

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