Parameter identification method for lithium-ion batteries
Dec 15, 2021 · In this paper, we are concerned with online parameter identification of lithium-ion batteries, and the ultimate aim is to precisely estimate the SOC of lithium-ion batteries,
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Dec 15, 2021 · In this paper, we are concerned with online parameter identification of lithium-ion batteries, and the ultimate aim is to precisely estimate the SOC of lithium-ion batteries,
Jun 1, 2025 · Rapid identification with high accuracy across diverse conditions. Accurate parameter identification of simplified electrochemical models for lithium-ion batteries (LIBs) is
Dec 16, 2018 · The accuracy of the lithium-ion battery model directly affects the reliability of the battery management system. Since the parameter values of the model vary with the operating
Dec 28, 2021 · We develop a diagnostic framework of parameter identification and identifiability analysis (PIIA) with uncertainty quantification of lithium-ion
Oct 4, 2024 · In this paper, we firstly summarize the model parameter identification methods used in model-based SOP estimation to address the
Abstract:In order to ensure battery management system (BMS) operating safely and reliably, it is of critical importance to accurately identify lithium-ion battery model parameters. A recursive
May 31, 2024 · Lithium-ion batteries are widely used in electric vehicles and renewable energy storage systems due to their superior performance in most
Jun 1, 2023 · Online estimation of lithium-ion battery equivalent circuit model parameters and state of charge using time-domain assisted decoupled recursive least squares technique
Jul 1, 2025 · The internal mechanical parameters of lithium-ion batteries evolve along with electrochemical and mechanical behaviors, which can be used as an evaluation index for state
Jan 13, 2021 · Abstract: Accurate parameter identification of a lithium-ion battery is a critical basis in the battery management systems. Based on the analysis of the second-order RC equivalent
3 days ago · This paper presents both the development and experimental validation of a complete numerical modeling framework for lithium-ion battery characterization with a high-fidelity multi
Jul 12, 2024 · Lithium-ion batteries are essential for modern life, powering portable electronics, facilitating clean energy transition, storing renewable energy, and reducing
To address the difficulty of directly obtaining the thermal physical property parameters of lithium batteries, this paper carries out the parameter identification through the establishment of the
Nowadays, battery storage systems are very important in both stationary and mobile applications. In particular, lithium ion batteries are a good and
Oct 4, 2024 · Lithium-ion batteries are widely applied in the form of new energy electric vehicles and large-scale battery energy storage systems to improve
May 1, 2024 · Abstract Thermophysical parameters, including the specific heat and thermal conductivity of lithium-ion batteries (LIBs), are the key parameters for the design of battery
Sep 1, 2024 · Accurately sensing the internal state of lithium-ion batteries and identifying parameters is crucial for developing effective battery safety and healt
Dec 20, 2024 · An innovative square root - untraced Kalman filtering strategy with full-parameter online identification for state of power evaluation of lithium-ion batteries
The model parameters of the lithium-ion battery are of great importance to model-based battery state estimation methods. The fact that parameters change in
Feb 1, 2025 · Two RC model is one of the most used lithium-ion battery model, due to its simplicity and accuracy. The equivalent circuit parameters, resistances and capacitance do
Jul 1, 2023 · Parameter identification is the most fundamental task for the model-based battery management system. However, there are some difficulties in
Apr 1, 2022 · An equivalent circuit with second-order RC network is used to model lithium-ion battery, and a limited memory recursive least square with variable forgetting factor (VFF
Influence of Different Ambient Temperatures on the Discharge Performance of Square Ternary Lithium-Ion Batteries Xingxing Wang 1,2, Yujie Zhang 1, Hongjun Ni 1,*, Shuaishuai Lv 1,
Jan 14, 2025 · Learn about the key technical parameters of lithium batteries, including capacity, voltage, discharge rate, and safety, to optimize
Feb 28, 2025 · The modeling of a P2D model of a lithium-ion battery requires many parameters of the battery, such as the open circuit voltage curve of the battery, the lithium-ion diffusion
May 30, 2024 · This paper is divided into five parts, the first part is to establish lithium battery model, the second part introduces principle of parameter identification method, the third part
Dec 15, 2018 · To effectively use and manage lithium-ion batteries and accurately estimate battery states such as state of charge and state of health, battery models with good robustness,
Nov 15, 2024 · For the Battery Management System (BMS) to manage and control the battery, State of Charge (SOC) is an important battery performance
Dec 15, 2021 · In order to ensure battery management system (BMS) operating safely and reliably, it is of critical importance to accurately identify lithium-ion battery model parameters. A
May 1, 2025 · In the study of liquid cooling technology for battery thermal management systems, Li Ming et al. analyzed the impact of different cooling surfaces, inlet numbers, and coolant
Mar 1, 2023 · Taking the ternary lithium battery as the research object, we present an improved forgetting factor recursive least square (IFFRLS) method for parameter identification and a
Nov 1, 2023 · In this thread, offline parameter identification can both initialize the battery model and act as a benchmark for online application. This work reviews and analyzes the parameter
Sep 5, 2024 · This paper proposes a comprehensive framework using the Levenberg–Marquardt algorithm (LMA) for validating and identifying lithium-ion battery model parameters to improve
The results show that when discharging at current rates of 0.1C, 0.25C, 0.5C, 0.75C, and 1C under the ambient temperature of 5 C, 10 C, 25 C, and 40 C, the terminal voltage of the
Based on the well-known thevenin equivalent circuit for battery, this paper determines the unique purpose is introducing the bounded varying forgetting factor recursive least square approach
Oct 15, 2024 · Optimizing the operation of lithium batteries through the battery management system (Battery management system, BMS) can further improve the service life and safety of
Abstract: Accurate parameter identification of a lithium-ion battery is a critical basis in the battery management systems. Based on the analysis of the second-order RC equivalent circuit model, the parameter identification process using the recursive least squares (RLS) algorithm is discussed firstly.
Consequently, in the last few decades, many models have been proposed to represent their behavior. This paper proposed a framework for validating and identifying lithium-ion batteries' model parameters to enhance the accuracy of SOC estimation by reducing modeling errors in the N-order Thevenin equivalent circuit model.
In the process of using lithium-ion batteries, the internal state is affected by many factors, such as reaction direction, ambient temperature, operating conditions and residual capacity. An equivalent circuit model (ECM) can be used to simulate these dynamic characteristics and uncertainties of the lithium-ion batteries [5, 6].
The increasing adoption of batteries in a variety of applications has highlighted the necessity of accurate parameter identification and effective modeling, especially for lithium-ion batteries, which are preferred due to their high power and energy densities.
In, a Bayesian parameter identification framework for lithium-ion batteries was presented, wherein 15 parameters were identified within a pseudo-two-dimensional model. The validity of the identified parameters was confirmed through simulated voltage assessments, resulting in a relative error of less than 0.7% across varying discharge rates.
The voltageplateau characteristics of lithium batteries in different working states are explored, and theconclusions are as follows:(1) Consistent with the trend of the overall discharge curve, the time and energy ofthe voltage plateau period decrease with the decrease of the ambient temperature and theincrease of the current rate.