Method for estimating residual capacity of storage battery for electric vehicle

A technology of remaining capacity and battery, applied in the field of electric vehicles, can solve the problem that the remaining capacity of the battery cannot consider the influence of the discharge current mode, and the battery discharge current mode is not described.

Inactive Publication Date: 2004-04-14
陈清泉
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Problems solved by technology

However, it is found through observation that the input of these two models does not describe the discharge current pattern of the battery, so they have th

Method used

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  • Method for estimating residual capacity of storage battery for electric vehicle
  • Method for estimating residual capacity of storage battery for electric vehicle
  • Method for estimating residual capacity of storage battery for electric vehicle

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Embodiment Construction

[0040]The driving distance of an electric vehicle is closely related to the total available capacity of the battery under different discharge current modes. In order to make the established neural network model for battery remaining capacity estimation suitable for use in electric vehicles, the discharge current patterns of different driving modes of electric vehicles were simulated to test the available total capacity of batteries.

[0041] Figures 2A-2D Displays electric battery discharge current patterns based on U.S. urban driving style, U.S. highway driving style, European standard driving style, and Japanese driving style. In order to obtain comparable test results, the definition of the total usable capacity of the battery is given here, that is, the capacity released when the fully charged battery is discharged to the preset discharge stop voltage under a certain discharge current mode and temperature. Mathematically, it can be expressed as:

[0042] ...

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Abstract

Using discharging and regeneration charging capacity distribution describes discharging current mode of electric motor car. Based on status of available total capacity of accumulator, rest energy of accumulator is evaluated. The method include following steps: measuring temperature, discharging current and regeneration charging current of accumulator; based on selected several current ranges and corresponding currents at upper and lower limits; accumulating the measured currents creates discharging and charging capacity distributions; forming the vector composed of discharging and charging capacity distributions and temperature of accumulator; normalizing the vector to meet the requirement as a input of neuro-network model; based on status of available total capacity of accumulator, applying neuro-network model evaluates surplus capacity. Considering discharging current mode, the invention evaluates surplus capacity accurately.

Description

technical field [0001] The invention relates to the technical field of electric vehicles, in particular to estimating storage battery capacity by using a neural network model. Background technique [0002] As people pay more and more attention to environmental and energy issues, the research and development of electric vehicle technology has been paid more and more attention. At present, among the many electric vehicle technologies, accurately estimating the remaining capacity of the battery is both a difficult problem and one of the most critical technologies, because it is the core technology of the electric vehicle energy management system. [0003] Generally, the following three methods are used to estimate the remaining capacity of the electric vehicle battery. First, the state of charge estimation method. This method estimates the ratio of the remaining effective substances in the battery to the total effective substances, that is, the so-called state of charge, so t...

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Application Information

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IPC IPC(8): G01R31/36
Inventor 陈清泉沈维祥
Owner 陈清泉
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