An electric vehicle power battery SOC intelligent prediction device

Abstract

Provided is an intelligent prediction system for a power battery SOC of an electric vehicle, the intelligent prediction system comprising a battery parameter collection platform and a battery SOC prediction system, wherein the battery parameter collection platform is used for collecting real-time parameters of the voltage, current and temperature of a vehicle power battery pack and an ambient temperature; and the battery SOC prediction system predicts, through the collected real-time parameters, a battery SOC value. The battery SOC is a real-time system which is non-linear, time-delayed, multi-variable coupled and complex, with high demands on real time performance. The intelligent prediction system effectively solves the problem that it is difficult for a conventional prediction device to obtain an ideal effect of battery SOC prediction accuracy.

Description

technical field [0001] The invention relates to the technical field of battery detection equipment, in particular to an intelligent SOC prediction device for an electric vehicle power battery. Background technique [0002] Accurate estimation of the State of Charge (SOC) of electric vehicle batteries is the premise to ensure the reliable operation of electric vehicles, and it is also an important basis for the use and maintenance of battery packs, which is of great significance to the promotion and development of electric vehicles. At present, the commonly used SOC estimation methods mainly include: ampere-hour integral method, open circuit voltage method, Kalman filter method, neural network method, etc. The ampere-hour integration method obtains the power consumption of the battery pack by calculating the integral of the current to time, and then obtains the remaining power, but it is essentially an open-loop prediction, and the existence of a pure integration link makes t...

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Problems solved by technology

[0003] The invention provides an intelligent prediction device for power battery SOC of electric vehicles. The invention effectively solves the problem that battery SOC is a nonlinear, time-delayed, multi-variable coupling and complex real-time system, and the real-time requirements are very high. Conventional The problem that the control method is difficult to achieve the desired effect

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