Modification-based state-of-charge estimation method for RC battery model

A technology for correcting models and battery models, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., and can solve problems such as changes

Active Publication Date: 2015-12-30
NANCHANG HANGKONG UNIVERSITY
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Problems solved by technology

[0006] However, there are two problems in the traditional RC model: one is that the internal resistance of the battery is a dynamic value that changes with the charging and discharging state of the battery

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  • Modification-based state-of-charge estimation method for RC battery model
  • Modification-based state-of-charge estimation method for RC battery model
  • Modification-based state-of-charge estimation method for RC battery model

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Embodiment Construction

[0077] The present invention will be further described below in conjunction with accompanying drawing, implementation principle, simulation example and engineering application example, see Figure 1 to Figure 18 .

[0078] 1. Battery RC improvement model:

[0079] The RC model used in the present invention has a simple structure, can simulate the hysteresis effect of the battery, and has a resistance-capacitance parallel circuit that can well describe the nonlinear dynamic characteristics of the battery. The calculation amount is small, the calculation speed is improved, and it is better used in the engineering field. The structure of the traditional RC circuit model is as follows figure 1 . Resistance R o is the ohmic internal resistance of the battery, and the capacitance C p with resistor R p Parallel to simulate the polarization effect of the battery, R p Is the polarization internal resistance of the battery; the charge and discharge current is I, U o is the outpu...

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Abstract

The invention discloses a modification-based state-of-charge estimation method for an RC battery model. The modification-based state-of-charge estimation method comprises the following steps: building an RC modification model; identifying parameters of the model; utilizing the extend Kalman filter (EKF) algorithm to obtain a continuous state space function of the battery RC modification model; according to the battery model parameter values of all points SOCs, acquired by the identification method, performing repeated curve fitting; then using the interpolation method to acquire the parameter values of the SOCs in the whole stage. The invention provides the EKF battery state-of-charge estimation method based on the RC modification model by the built RC modification model to overcome the defects of the classical battery state-of-charge estimation algorithm. Compared with a traditional method, the modification-based state-of-charge estimation method has the characteristics of favorable dynamic performance, insensitivity to initial value errors, excellent measurement noise inhibition property and the like.

Description

technical field [0001] The invention relates to the technical field of new energy vehicles, a method for estimating the state of charge of a battery model, a method for estimating a state of charge based on a modified RC battery model, compared with a method for estimating a state of charge of a traditional battery model, the battery model The state of charge estimation method has obvious advantages and has a good application prospect in the field of state of charge estimation. Background technique [0002] The development of electric vehicles is very beneficial to alleviate the current environmental pressure and alleviate the shortage of conventional petroleum energy. Batteries and battery management systems play a pivotal role in electric vehicles. The battery management system of electric vehicles is one of the core components of battery power systems. Battery state of charge estimation is one of the difficulties in the research of electric vehicle power battery system. T...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
Inventor 李志农周武生覃章锋卢祥军肖尧先
Owner NANCHANG HANGKONG UNIVERSITY
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