Evaluation and observability analysis of an improved reduced-order electrochemical model for lithium-ion battery

Wu, Longxing; Li, Kai; Pang, Hui

doi:10.1016/j.electacta.2020.137604

Cited by 63 publications

(44 citation statements)

References 54 publications

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“…In this section, the effectiveness of the proposed simplified EM and accuracy of SOC estimation are investigated against the verified COMSOL results defined as the experimental data of the real battery. The LiyMn2O4-LixC6 battery is used for simulation and verification, whose values of parameters are given in [28]. In addition, it should be noted that all simulations and verifications in this paper are implemented under isothermal conditions.…”

Section: Resultsmentioning

confidence: 99%

“…It is emphasized that this simplification approach of the solid phase equations, such as Equations ( 3) and ( 4), has good accuracy in solid surface concentration and less impact on subsequent EM-based SOC estimation at medium/high C-rates, which has been described and verified in Ref. [28].…”

Section: −3 a N Fr Nmentioning

confidence: 90%

“…In order to realize the EMs on-board application in control fields, an improved reduced-order EM for lithium-ion batteries needs to be reconstructed. A more comprehensive understanding of the governing equations and meanings of related parameters for simplified EMs has been shown in our previous work [28]. For this reason, the reconstruction process of a simplified EM is only briefly explained as follows.…”

Section: Derivation Of the Simplified Emmentioning

confidence: 99%

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Online SOC Estimation Based on Simplified Electrochemical Model for Lithium-Ion Batteries Considering Current Bias

Pang

et al. 2021

Energies

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State of Charge (SOC) is essential for a smart Battery Management System (BMS). Traditional SOC estimation methods of lithium-ion batteries are usually conducted using battery equivalent circuit models (ECMs) and the impact of current sensor bias on SOC estimation is rarely considered. For this reason, this paper proposes an online SOC estimation based on a simplified electrochemical model (EM) for lithium-ion batteries considering sensor bias. In EM-based SOC estimation structure, the errors from the current sensor bias are addressed by proportional–integral observer. Then, the accuracy of the proposed EM-based SOC estimation is validated under different operating conditions. The results indicate that the proposed method has good performance and high accuracy in SOC estimation for lithium-ion batteries, which facilitates the on-board application in advanced BMS.

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Section: Resultsmentioning

confidence: 99%

Section: −3 a N Fr Nmentioning

confidence: 90%

Section: Derivation Of the Simplified Emmentioning

confidence: 99%

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Online SOC Estimation Based on Simplified Electrochemical Model for Lithium-Ion Batteries Considering Current Bias

Pang

et al. 2021

Energies

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“…It includes factors such as flow field, concentration field, electric field, and temperature field, and is based on many complex control equations such as mass, momentum, charge and energy conservation, and electrochemical reaction kinetics. Due to typically deploy coupled partial differential equations with a large amount of unknown parameters, thereby it must be further optimized in order to carry out effective simulation in actual power system engineering 83‐85 …”

Section: Analysis and Research On Performance Improvement Methods Of Vrfb In Mgmentioning

confidence: 99%

Research and analysis of performance improvement of vanadium redox flow battery in microgrid: A technology review

Huang

2021

Intl J of Energy Research

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The vanadium redox flow battery (VRFB) has the advantages of flexible design, high safety, no cross-contamination, long service life, environmental friendliness, and good performance. VRFB has become the best choice for large-scale electrochemical energy storage. Renewable energy has severely restricted the development and use due to its discontinuous, unstable, and uncontrollable output power. The microgrid (MG) composed of VRFB, wind energy, and photovoltaic renewable energy is an effective solution to the random and intermittent nature of renewable energy. The work analyses the development status and existing problems of renewable energy power generation, VRFB energy storage technology, and microgrid. Without involving the development of the key components of the VRFB, research how to improve the performance of the VRFB to make it in the best operating state in the microgrid. The main contribution of this paper are to combine the application background of the microgrid to improve the overall performance of the battery from the aspects of VRFB modeling, battery structure design optimization, flow field and flow optimization, stack design, thermal treatment, and temperature characteristic distribution. Finally, this review offers insights for improving the performance of VRFBs in microgrids. Highlights• Analysis of renewable energy, energy storage technology, and microgrid framework.• Systematic analysis of the problems of vanadium flow battery in microgrid.• Researched how to improve the overall performance of the vanadium flow battery without developing new component materials.

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“…The VRFB is the core part of the entire microgrid system, improve the stability and reliability of MG, and REPG; it shows the wind/PV/VRFB hybrid system is the best configuration. 17 By installing a VRFB-ESS in microgrid, combined with the REPG system, achieve smooth output power and provide an effective solution for large-scale regulated energy storage. In this paper, by designing and optimizing the structure of the VRFB, the overall performance of the battery is improved, so that it can run in the best condition in the microgrid at all times, and provide high-quality power services for the MG. 18…”

Section: Mathematical Model Of Vrfbmentioning

confidence: 99%

Numerical research on a novel flow field design for vanadium redox flow batteries in microgrid

Huang

2021

Intl J of Energy Research

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Evaluation and observability analysis of an improved reduced-order electrochemical model for lithium-ion battery

Cited by 63 publications

References 54 publications

Online SOC Estimation Based on Simplified Electrochemical Model for Lithium-Ion Batteries Considering Current Bias

Online SOC Estimation Based on Simplified Electrochemical Model for Lithium-Ion Batteries Considering Current Bias

Research and analysis of performance improvement of vanadium redox flow battery in microgrid: A technology review

Numerical research on a novel flow field design for vanadium redox flow batteries in microgrid

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