GA-based approach to optimize an equivalent electric circuit model of a Li-ion battery-pack

Pizarro-Carmona, Victor; Castaño-Solís, Sandra; Cortés-Carmona, Marcelo; Fraile-Ardanuy, Jesús; Jiménez-Bermejo, David

doi:10.1016/j.eswa.2021.114647

Cited by 19 publications

(8 citation statements)

References 40 publications

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“…According to the equivalent topology and fault diagnosis structure model shown in FIG. 1, the topology identification of the turn-turn circuit of the high-energy-consuming transformer [6] is carried out, and the voltage input of the high-energyconsuming transformer with additional damping control under the short-circuit turn-turn state is as follows:…”

Section: Topology Of High-energy-consuming Transformer Interturn Circuitmentioning

confidence: 99%

The fault identification method of high energy-consuming transformer interturn short circuit considering feature coupling

Gao,

Zhang

et al. 2024

Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024)

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Section: Topology Of High-energy-consuming Transformer Interturn Circuitmentioning

confidence: 99%

The fault identification method of high energy-consuming transformer interturn short circuit considering feature coupling

Gao,

Zhang

et al. 2024

Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024)

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“…The multialgorithm collaborative optimization intelligent identification method that combines the PSO algorithm that is easy to fall into the local optimum and the GA can quickly capture the search range of the feasible solution space, realize the fast search for the optimal solution of the battery model parameter identification problem, and the identification accuracy is high [91]. The optimization method of the lithium-ion equivalent circuit model based on the GA algorithm can accurately characterize the high dynamics of the lithiumion battery [92]. The GA is also often combined with the neural network algorithm to Genetic algorithm (GA) is an intelligent optimization method for solving constrained and unconstrained, stochastic and nonlinear problems with the continuous development of optimization theory.…”

Section: Output Layermentioning

confidence: 99%

Review on the Battery Model and SOC Estimation Method

et al. 2021

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The accuracy of the power battery model and SOC estimation directly affects the vehicle energy management control strategy and the performance of the electric vehicle, which is of great significance to the efficient management of the battery and the improvement of the reliability of the vehicle. Based on the research of domestic and foreign battery models and the previous results of SOC estimation, this paper classifies power battery models into electrochemical mechanism models, equivalent circuit models and data-driven models. This paper analyzes the advantages and disadvantages of various battery models and current research progress. According to the choice of battery model, the previous research results of the power battery SOC estimation method are divided into three categories: the direct measurement method not based on battery model, the estimation method using black box battery model, and the battery model SOC estimation method based on state space. This paper will summarize and analyze the principles, applicable scenarios and research progress of the three categories of estimation algorithms aiming to provide references for future in-depth research. Finally, in view of the shortcomings of the battery model and estimation algorithm of the existing method, the future improvement direction is proposed.

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“…However, this problem does not occur in population-based metaheuristic algorithms [53]. Such algorithms, i.e., genetic algorithms [17,54,55], particle swarm optimization (PSO) [21,52,56], and others [57], are also used for HPPC results processing. PSO was also applied in the research described here.…”

Section: Introductionmentioning

confidence: 99%

HPPC Test Methodology Using LFP Battery Cell Identification Tests as an Example

Białoń,

Niestrój,

Skarka

et al. 2023

Energies

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The aim of this research was to create an accurate simulation model of a lithium-ion battery cell, which will be used in the design process of the traction battery of a fully electric load-hull-dump vehicle. Discharge characteristics tests were used to estimate the actual cell capacity, and hybrid pulse power characterization (HPPC) tests were used to identify the Thevenin equivalent circuit parameters. A detailed description is provided of the methods used to develop the HPPC test results. Particular emphasis was placed on the applied filtration and optimization techniques as well as the assessment of the quality and the applicability of the acquired measurement data. As a result, a simulation model of the battery cell was created. The article gives the full set of parameter values needed to build a fully functional simulation model. Finally, a charge-depleting cycle test was performed to verify the created simulation model.

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GA-based approach to optimize an equivalent electric circuit model of a Li-ion battery-pack

Cited by 19 publications

References 40 publications

The fault identification method of high energy-consuming transformer interturn short circuit considering feature coupling

The fault identification method of high energy-consuming transformer interturn short circuit considering feature coupling

Review on the Battery Model and SOC Estimation Method

HPPC Test Methodology Using LFP Battery Cell Identification Tests as an Example

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