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Method for estimating remaining power of electric vehicle power battery

A power battery and remaining power technology, applied in the direction of measuring electric variables, measuring electricity, measuring devices, etc., can solve problems such as difficult to quickly and accurately estimate the remaining power of electric vehicles, so as to reduce the running time of the algorithm, and the identification results are accurate and reliable. The effect of fast data processing

Inactive Publication Date: 2019-03-08
HANGZHOU ZHONGHENG ELECTRIC CO LTD
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AI Technical Summary

Problems solved by technology

[0004] It is difficult for existing algorithms to quickly and accurately estimate the remaining power of electric vehicles, and the estimation of remaining power is of great significance for optimizing the battery system of electric vehicles

Method used

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  • Method for estimating remaining power of electric vehicle power battery
  • Method for estimating remaining power of electric vehicle power battery
  • Method for estimating remaining power of electric vehicle power battery

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Embodiment Construction

[0056] The technical solutions of the present invention will be further specifically described below through the embodiments and in conjunction with the accompanying drawings.

[0057] A method for estimating the remaining power of an electric vehicle power battery in this embodiment, such as figure 1 no,

[0058] S1: Based on the volumetric Kalman algorithm, an estimation model for the remaining power of the power battery is established. The formula for the estimation model of the remaining power of the power battery is as follows:

[0059]

[0060] Among them, state matrix x(k)=[SOC(k), u p (k)], SOC(k) represents the remaining power at time k, u p (k) represents the voltage across the polarization internal resistance at time k, T represents the temperature of the power battery, Q N Indicates the power released by the power battery under the nominal constant current, I(k) represents the current of the power battery at time k, τ P represents the time constant of the po...

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Abstract

The invention discloses a method for estimating the remaining power of an electric vehicle power battery. The method comprises steps that based on the volume Kalman algorithm, a model for estimating the remaining power of the power battery is established; polarization internal resistance Rp(k), polarization capacitance Cp(k), equivalent ohmic internal resistance R0(k), the remaining power SOC (k)and an end voltage Ut(k) of the power battery at the time k are obtained; an open circuit voltage UOC(k) of the power battery at the time k is calculated; a state estimation error delta e(k) and a noise error V(k) are calculated; the BP neural network based on width learning is constructed, the delta e(k) and the V(k) are inputted into the BP neural network, and a variance compensation value deltaQk of process noise distribution at the time k and a variance compensation value delta Rk of observed noise distribution are outputted by the BP neural network; the delta Qk and the delta Rk are utilized to compensate Qk-1 and Rk-1 at the time k-1, and Qk and Rk at the time k are generated; a value of x(k+1) of the model for estimating the remaining power of the power battery is calculated through the volume Kalman algorithm, and the remaining power SOC (k+1) at the final (k+1) time is obtained. The method is advantaged in that the remaining power of the power battery can be rapidly and accurately estimated.

Description

technical field [0001] The invention relates to the technical field of estimating remaining power of a battery, in particular to a method for estimating the remaining power of a power battery of an electric vehicle. Background technique [0002] With the worsening of environmental pollution caused by traditional energy sources, more and more attention has been shifted to the development and utilization of new energy sources. Compared with traditional fuel vehicles, pure electric vehicles have low emissions, are environmentally friendly, and have Cleaning is easy to provide and other advantages. [0003] In the electric vehicle energy management system, the remaining power estimation of the battery is its core part, which not only enables the driver to understand the usage of the power intuitively and clearly, but also has great significance for the protection of the battery. It also has a very important reference function for the estimation of the cruising range and the det...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/387
CPCG01R31/3648
Inventor 王梦梦姜淏予葛泉波
Owner HANGZHOU ZHONGHENG ELECTRIC CO LTD
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