DOI: 10.1016/j.est.2022.106462 Corpus ID: 255077883 An improved parameter identification method considering multi-timescale characteristics of lithium-ion batteries Lithium-ion batteries are widely applied in the form of new energy electric vehicles and large-scale ...
Li et al. [26] presented an amended online parameter identification method for lithium-ion battery, and the range of values for forgetting factor in RLS is discussed as well as its feasibility is ... State-of-charge and capacity estimation of lithium-ion battery using a new open-circuit voltage versus state-of-charge. J. Power Sources, 185 ...
This paper provides a high-precision method for online battery impedance identification. The proposed method can be performed without interrupting the normal operation of the battery system, which can meet the demands for realtime and dynamic applications. In this paper, the power converter and sampling circuit are specially designed for the features of the signal to be …
Battery parameter identification, as one of the core technologies to achieve an efficient battery management system (BMS), is the key to predicting and managing the performance of Li-ion batteries.
This paper discusses the technologies for S-LIBs cascade utilization, including new techniques for battery condition assessment and the combination of informatization for different battery identification and dismantling. After complete scrapping, the most crucial aspect is the recycling of cathode materials.
In order to describe the strong nonlinearity of the lithium-ion battery voltage response, the classical second-order RC equivalent circuit model is improved by introducing a fractional order capacitor, and a fractional variable …
Request PDF | A Hierarchical Identification Method for Lithium-Ion Battery SOC Based on the Hammerstein Model | The two-input one-output Hammerstein model consists of two parallel nonlinear static ...
To identify the parameters of a single battery in a battery module, it is usually necessary to disassemble the battery module. The process is complex, time-consuming, and …
DOI: 10.1149/1945-7111/acd354 Corpus ID: 258580968; A Hierarchical Identification Method for Lithium-Ion Battery SOC Based on the Hammerstein Model @article{Wang2023AHI, title={A Hierarchical Identification Method for Lithium-Ion Battery SOC Based on the Hammerstein Model}, author={Guangqian Wang and Dongqing Wang and Jiling …
DOI: 10.3390/EN11061358 Corpus ID: 56569096 A Novel Method for Lithium-Ion Battery Online Parameter Identification Based on Variable Forgetting Factor Recursive Least Squares The model parameters of the lithium-ion battery are of great importance to model ...
Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate battery deployment, and promote low-carbon economies.
To eliminate the impact of inaccurate initial parameter value on the parameter identification results of lithium-ion battery (LIB) model, a method for parameter identification of LIB combining Matlab and 1stOpt is proposed, fully utilizing the powerful global optimization ability of 1stOpt to obtain accurate initial parameter value.
Accurate estimation of the lithium battery state plays an important role in battery management systems. The key is to obtain precise parameters of the battery model. Multi-innovation stochastic gradient (MISG) algorithm can be applied to identify model parameters, but suffers the problem of low convergence accuracy. To address this issue, a weighted MISG method based on kernel …
In state-of-charge (SOC) estimation approaches which rely on electric circuit models, the accuracy of the model''s parameters is influenced by factors such as battery aging and temperature, leading to SOC estimation errors. To tackle this issue effectively, a constant update of battery parameters is proposed. Our novel approach introduces the variable recursive least …
Finally, the developed online parameter identification method is experimentally validated using full life cycle data of three cobalt-acid lithium (LiCoO 2) batteries, confirming reasonable accuracy of the identified battery electrochemical parameters.
These methods leverage extensive datasets to train algorithms capable of identifying intricate patterns and correlations that influence to battery degradation. Machine learning algorithms, such as SVM, ANN, and adaptive algorithms, have demonstrated considerable potential in SOH estimation by learning from historical data and adapting to …
This work proposes a new parameter identification method for lithium-ion battery electrochemical model, which combines machine learning based classifier with improved …
The accuracy of ECM is determined by a combination of factors, including the design of the model [8], the method for identifying the model parameters [9], and the test profile carried out for ECM parameter identification [10].The RC network, consisting of parallel resistor and capacitor circuits, is usually used to simulate the electrical behavior of batteries without …
A Robust Online Parameter Identification Method for Lithium-Ion Battery Model Under Asynchronous Sampling and Noise Interference. Abstract:Online identification of a …
Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (10): 3155-3169. doi: 10.19799/j.cnki.2095-4239.2023.0358 • Energy Storage Test: Methods and Evaluation • Previous Articles Next Articles Identification of lithium-ion battery equivalent circuit model parameters based on the multi-innovation identification algorithm
Equivalent circuit model (ECM) is a common method to simulate the electrochemical characteristics of lithium-ion batteries (LIBs). Fractional order model (FOM) has been proved to be able to characterize the internal characteristics of the battery more accurately, and the identification of model parameters is an important prerequisite to construct the ECM of LIBs. In …
DOI: 10.4271/2013-01-1529 Corpus ID: 62651172 A Model Parameter Identification Method for Battery Applications @inproceedings{Hu2013AMP, title={A Model Parameter Identification Method for Battery Applications}, author={Xiao Hu and Lewis Collins and Scott ...
The parameter OCV is the steady terminal voltage of a battery in open circuit, which increases with the battery SOC.Plett proposed a new combined SOC estimation method based on the extended Kalman filter (EKF) for estimating the OCV and the Ah counting method for estimating the SOC [9].An adaptive neuro-fuzzy inference system (ANFIS) model is …
Energy Storage Science and Technology ›› 2023, Vol. 12 ›› Issue (10): 3155-3169. doi: 10.19799/j.cnki.2095-4239.2023.0358 • Energy Storage Test: Methods and Evaluation • Previous Articles Next Articles Identification of lithium-ion battery equivalent circuit ...
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