Joint estimation method of state of charge and state of health of power battery system based on electrochemical model

A power battery and state of health technology, applied in computing, electrical digital data processing, design optimization/simulation, etc., can solve the problems that process variables cannot be measured effectively in real time, poor reliability, expensive sensors, etc.

Active Publication Date: 2017-08-18
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

Therefore, some special sensors and detection equipment are often required to observe the changes of key variables of the battery. However, due to the shortcomings of some

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  • Joint estimation method of state of charge and state of health of power battery system based on electrochemical model
  • Joint estimation method of state of charge and state of health of power battery system based on electrochemical model
  • Joint estimation method of state of charge and state of health of power battery system based on electrochemical model

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Embodiment Construction

[0092] The above is only an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention, the present invention will be further described in detail below in conjunction with specific processes.

[0093] A ternary lithium-ion battery is selected as the research object, its rated capacity is 25Ah, and the charge and discharge cut-off voltages are 4.2V and 2.5V respectively. It is estimated by adopting a joint estimation method of state of charge and state of health of a power battery system based on an electrochemical model provided by the present invention:

[0094] (1). Establish a mathematical equation for the charging and discharging process of the lithium-ion power battery;

[0095] (2). Based on the finite calculation method, the established mathematical equation is gridded and dimensionally reduced, and then solved by a numerical calculation method to obtain the electrochemical model of the power b...

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Abstract

The invention relates to a joint estimation method of a state of charge (SOC) and a state of health (SOH) of a power battery system based on an electrochemical model. The method comprises the steps of establishing a pseudo two-dimensional electrochemical model correlation mathematical equation based on an electrochemical correlation theory, performing dimensionality reduction processing and calculation solution on a complicated partial differential equation by a finite analysis method and a numerical calculation method, allowing an open circuit potential of an electrode to be equivalent to open circuit voltage of a battery, establishing a capacity-surface SOC-EOCV three-dimensional response surface, extracting and establishing a degradation path graph of a battery performance degradation characteristic parameter by an intelligent optimization algorithm based on battery ageing test data, and finally realizing estimation of the SOH of the power battery based on the degradation path graph and realizing estimation of the SOC of the power battery based on concentration distribution and change rules of lithium ions in the battery.

Description

technical field [0001] The invention relates to the technical field of power battery management, in particular to the technology of state of charge and state of health of a power battery system. Background technique [0002] The power battery system is a kind of dynamic system with strong time-varying nonlinear non-uniformity characteristics. How to accurately obtain the status information of the battery charge, energy, health, safety, peak power and other real-time predictions of remaining life and remaining time is At present, it is a problem that is widely concerned, and it is also an important function that the battery management system must have. The state of charge (SOC) of the battery represents the remaining available capacity of the battery, and the state of health (SOH) represents the current internal state of health of the battery. Accurate estimation of SOC and SOH is the top priority of the battery management system. Therefore, some special sensors and detectio...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/23G06F2111/10
Inventor 熊瑞李治润何洪文
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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