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Battery remaining capacity estimation method for electric car battery management system

A technology of battery remaining power and battery management system, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve problems such as high computational complexity, high battery model accuracy requirements, and output errors that cannot be suppressed or eliminated. achieve high sensitivity

Active Publication Date: 2014-03-05
AIWAYS AUTOMOBILE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

This technology improves upon previous methods used primarily involving improvements made from specific materials or techniques like Charge/discharge, Static Variable Temperature Controlled Current Charging Dual Capacity Power Pulse System (MCPC). These new ways can improve battery performance without changing their chemical composition but still maintain accurate estimates over time even at extreme temperatures.

Problems solved by technology

This patented technical solution described in the patents describes how precise estimates of the amount of energy stored within a vehicle's battery may help protect against excessive temperatures caused by frequent use of electrical devices like lamps and motors. However, due to various sources of noise from other components involved with the battery being charged/drawn repeatedly, there could still exist issues related to incorrect estimated values when calculating residual battery capacities.

Method used

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  • Battery remaining capacity estimation method for electric car battery management system
  • Battery remaining capacity estimation method for electric car battery management system
  • Battery remaining capacity estimation method for electric car battery management system

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Embodiment Construction

[0034] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0035] In order to reduce the computational complexity and the requirement on the accuracy of the battery model, an embodiment of the present invention provides a method for estimating the remaining battery capacity of an electric vehicle battery management system, as described below for details:

[0036] A battery is a very complex electrochemical device. Charging and discharging is a complex electrochemical process. The internal dynamic process is highly nonlinear, accompanied by additional factors such as aging, polarization, and self-discharge effects. Therefore, it is difficult to construct the relationship between the load voltage and different charge and discharge currents according to the internal chemical or physical characteri...

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Abstract

The invention discloses a battery remaining capacity estimation method for an electric car battery management system. The method comprises the following steps of initializing the initial battery remaining capacity of a battery; predicting the remaining battery capacity of the battery at a next moment by adopting an ampere-hour current integral method so as to obtain a current polarization state through a current polarization model; estimating an open-circuit voltage according to an open-circuit voltage model; estimating the battery voltage; comparing the real sampled voltage and the estimated battery voltage, and calculating a voltage error; acquiring the corrected remaining battery capacity by adopting a kalman filter model; and introducing a temperature and battery service life compensation strategy, and estimating the remaining battery capacity according to the corrected remaining battery capacity. By adopting the method, the calculation complexity and the requirement on the battery model precision can be alleviated, and the method is particularly suitable for estimating the remaining battery capacity of the electric car power battery under relatively wicked environmental factors such as severe discharging current variation and the temperature.

Description

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Claims

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Application Information

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Owner AIWAYS AUTOMOBILE CO LTD
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