Considering the fractional-order characteristics, only algorithms such as GA, PSO [80, 82], or nonlinear least squares method [83, 84] can be used for parameter identification. Besides, some battery models are proposed to utilize the advantages of different modeling techniques.
The battery’s ECM parameters can be estimated based on the impedance computed at a specified range of frequencies. Significant work has been reported in the literature about the application of the EIS technique in battery management.
In addition, no comparison methods and discussions have existed in the above studies. The publications in Scopus are investigated between 2012 and 2022 with the item “battery parameter identification”. It is generally acknowledged that battery parameter identification is critical to state estimation and EV applications.
Parameter sensitivity rankings for functionalities in battery management systems. Accurate identification of physical parameters of a lithium-ion electrochemical model is of critical importance for next-generation battery management systems.
In particular, the sensitivity of the parameters is analyzed not only for terminal voltage but also for essential states in an electrochemical model-based battery management system, e.g., cathode bulk state of charge, cathode surface state of charge and anode potential.
Online parameter identification methods for Li-ion battery modeling. A moving window least squares method is proposed to identify the parameters of one RC ECM in , but one limitation is the length of the moving window is not fully discussed.
In order to describe the side reactions, 9 additional basic parameters were added to the base P2D model. In this study, the object of parameter sensitivity analysis …
Accurately identifying the aging-related parameters of a lithium-ion electrochemical model is crucial for the advanced battery management systems over the cells'' …
This paper estimates the equivalent circuit model (ECM) parameters and analyzes the influence of different factors on the Li-ion batteries impedance using the electrochemical impedance …
Battery models often face a trade-off between computational efficiency and the depth of physical insight they offer. Here, Wang et al. present an analytical model that captures transport …
A parameter sensitivity analysis of the battery P2D model is performed by simulating 1 kHz–0.001 Hz impedance data at three temperatures and five different SOCs. …
Batteries are essential components of most electrical devices and one of the most important parameters in batteries is storage capacity. It represents the maximum amount of energy that …
[90] exhibits a comprehensive analysis of the battery ECM''s parameters considering the effects of SOH, SOC, and temperature. The authors choose the Thevenin …
Battery parameter estimation is a key enabler for optimizing battery usage, enhancing safety, prolonging battery life, and improving the overall performance of battery …
The heading for another parameter, temperature, is Celsius (°C), cycle count refers to the number of cycles a battery has gone through, and SOH is a time-based …
The chapter focuses on presenting a detailed step-by-step workflow for theoretical and practical approach of Li-ion battery electric parameter identification. Correct …
The core of the LS method to identify battery parameters aims to find a set of parameters that allow the mathematical model to best fit the behavior of the actual battery, and …
The state-of-the-art BMS is developed based on an equivalent circuit model (ECM) of the battery, which provides simple battery states and parameters, e.g., open-circuit …
Battery parameter estimation is a key enabler for optimizing battery usage, enhancing safety, prolonging battery life, and improving the overall performance of battery …
Estimating the parameters of lithium-ion (Li-ion) batteries under dynamic working conditions is a critical challenge in the health management of electrical energy storage systems. This paper …
The experimental results show that the proposed approach is consistent in estimating the ECM parameters. It is found that the battery parameters, such as internal …
To address the battery capacity decay problem during storage, a mechanism model is used to analyze the decay process of the battery during storage [16, 17] and …
The core of the LS method to identify battery parameters aims to find a set of parameters that allow the mathematical model to best fit the behavior of the actual battery, and its advantage lies in the ability to analyze …
This paper presents three approaches to estimating the battery parameters of the electrical equivalent circuit model (ECM) based on electrochemical impedance …
An observability analysis shows that Li-S battery SOC is not fully observable and the existing methods might not be applicable for it. Finally, the effect of temperature on the identification …
The sensitivity analysis of battery model parameters is conducted by considering the impedance data of the battery at varying temperatures and states of charge …