Unite online estimation method of electromobile power battery system SOC and SOH

A technology for electric vehicles and power batteries, which is applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., to achieve high-precision characteristics, high operating efficiency, and improve estimation accuracy.

Inactive Publication Date: 2019-06-11
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art and provide a combined online estimation method for SOC and SOH of the power battery system of an electric vehicle to establish a higher-precision battery model and solve the problem of joint online estimation of the SOC and SOH of the power battery system

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  • Unite online estimation method of electromobile power battery system SOC and SOH
  • Unite online estimation method of electromobile power battery system SOC and SOH
  • Unite online estimation method of electromobile power battery system SOC and SOH

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Embodiment Construction

[0016] Below, the specific implementation manners of the present invention will be further described in conjunction with the accompanying drawings.

[0017] The present invention provides a combined online estimation method for SOC and SOH of a power battery system of an electric vehicle, the flow chart of the method is as follows figure 1 As shown, including steps S1-S5, each implementation step is described in detail below:

[0018] S1: Carry out fast charging and discharging experiments on electric vehicle power battery packs, and calibrate the relationship between the open circuit voltage (OCV) and SOC of the battery pack. The single-pulse experiment obtained, and the matching coefficient initial value matrix A of the corresponding state space equation of the electric vehicle battery pack model 0 , B 0 、C 0 、D 0 ;

[0019] S3: The equivalent circuit model of the electric vehicle power battery pack is as follows figure 2 shown, where U oc (SOC) represents the open c...

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Abstract

The invention belongs to the field of electromobile power battery management, and relates to a unite online estimation method of electromobile power battery system SOC and SOH. The method mainly includes the following steps that firstly, experimental data are acquired, a battery model is established and initial valves of model parameters are recognized, and coefficient initial valves A0, B0, C0 and D0 of a space equation are acquired; secondly, two extended Kalman filtering (EKF) rings respectively estimate the battery set SOC and internal resistance R0, and estimation results of the SOC and R0 can be modified with each other; and thirdly, the estimation results of the SOC and R0 in the second step are input in to a BCRLS algorithm to output the recognized model parameters R0, R1, and C1,and space equation coefficients Ak, Bk, Ck, and Dk are updated to estimate the SOC and the SOH at the next moment. The method fuses a dual Kalman filtering algorithm and the BCRLS algorithm, the problem that an algorithm no longer has unbiasedness due to uncertain noises is solved effectively, the accuracy of a battery set model is improved, the dual Kalman filtering algorithm effectively avoids the impact of an online SOC valve on battery SOH estimation, and the estimation accuracy and robustness of the SOH are improved.

Description

technical field [0001] The invention belongs to the field of electric vehicle battery management, and relates to a combined online estimation method of SOC and SOH of a battery system. Background technique [0002] In recent years, the development of electric vehicles has been particularly hot. The power battery system is one of the three electric systems of electric vehicles. The performance of the power battery directly affects the performance of the vehicle. The state of charge (SOC) of the battery is an important indicator reflecting the remaining capacity and working ability of the power battery, while the state of health (SOH) of the battery reflects the remaining cycle life of the battery. The real-time and accurate estimation of the SOC and SOH of the power battery system is very important Improving battery safety, battery life, and electric vehicle performance has important theoretical significance and application value. [0003] As the internal state parameters of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367
Inventor 朴昌浩朱成勇苏岭
Owner CHONGQING UNIV OF POSTS & TELECOMM
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