Mileage evaluation method for residual life of lithium ion battery of electric vehicle

Abstract

The invention provides a mileage evaluation method for the residual life of a lithium ion battery of an electric vehicle. Historical data of an electric vehicle is collected through a cloud data platform; a data mining method is adopted to analyze the historical driving condition and historical aging path of an electric vehicle, and power battery fault early warning data, a driving condition model, a multi-dimensional coupling equivalent circuit model and a safety risk assessment method are combined to calculate the safe available driving mileage of the electric vehicle; under the condition ofnot additionally adding electric vehicle components, historical data of the electric vehicle is collected in a remote data transmission mode and is stored in the cloud data platform; the historical aging path and the remaining available life of the electric vehicle are analyzed through a data mining method; and the historical driving condition of the electric vehicle are analyzed based on the sampled speed and position information of the electric vehicle, and the current remaining driving mileage can be reasonably evaluated by calculating the available driving mileage of the electric vehicleof which the working condition is set as the historical driving condition of the electric vehicle under the condition of the current remaining available life.

Description

technical field [0001] The invention belongs to the technical field of power battery management systems, and in particular relates to a mileage evaluation method for the remaining life of a lithium-ion battery of an electric vehicle. Background technique [0002] At present, the number of domestic electric vehicles exceeds 1% and is increasing year by year. Electric vehicles use electric motors as driving devices, and are powered by on-board rechargeable batteries or other energy storage devices. They have zero emissions, high efficiency, quietness, smooth operation, and easy driving. The use of low maintenance costs and extensive sources of required electric energy, etc., is therefore considered a long-term development goal in the existing new energy vehicle technology. At present, lithium-ion batteries are the mainstream vehicle energy storage devices. Because the lithium-ion battery system is affected by driving conditions, aging characteristics, etc., it is difficult to...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problem that the residual value of the lithium-ion battery system of an electric vehicle cannot be reasonably evaluated in the above-mentioned prior art, the present invention provides a method for evaluating the mileage of the remaining life of the lithium-ion battery. The method collects historical data of electric vehicles through a cloud data platform, Use data mining methods to analyze the historical driving conditions and historical aging paths of electric vehicles, and realize power battery life estimation and prediction based on deep learning or long-short-term memory neural networks, so as to realize sampling-based analysis without adding additional electric vehicle components. Analyze the historical driving conditions of electric vehicles, such as the speed and position information of electric vehicles, and set the working conditions as the driving mileage of the remaining life of lithium-ion batteries of electric vehicles under the current remaining usable life conditions. to evaluate

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