Adaptive Joint Sigma-Point Kalman Filtering for Lithium-Ion Battery Parameters and State-of-Charge Estimation DOI Creative Commons
Houda Bouchareb, Khadija Saqli, N.K. M’Sirdi

и другие.

World Electric Vehicle Journal, Год журнала: 2024, Номер 15(11), С. 532 - 532

Опубликована: Ноя. 18, 2024

Precise modeling and state of charge (SoC) estimation a lithium-ion battery (LIB) are crucial for the safety longevity systems in electric vehicles. Traditional methods often fail to adapt dynamic, nonlinear, time-varying behavior LIBs under different operating conditions. In this paper, an advanced joint approach model parameters SoC is proposed utilizing enhanced Sigma Point Kalman Filter (SPKF). Based on second-order equivalent circuit (2RC-ECM), was compared two most widely used simultaneously estimating SoC, including hybrid recursive least square (RLS)-extended filter (EKF) method, simple SPKF. The adaptive SPKF (ASPKF) method addresses limitations both RLS+EKF SPKF, especially dynamic By dynamically adjusting changes battery’s characteristics, significantly enhances accuracy performance. results demonstrate robustness, computational efficiency, reliability ASPKF traditional methods, making it ideal solution management (BMS) modern EVs.

Язык: Английский

Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies DOI Creative Commons
Mohamed Ahwiadi, Wilson Wang

Batteries, Год журнала: 2025, Номер 11(1), С. 31 - 31

Опубликована: Янв. 17, 2025

Lithium-ion (Li-ion) batteries have become essential in modern industries and domestic applications due to their high energy density efficiency. However, they experience gradual degradation over time, which presents significant challenges maintaining optimal battery performance increases the risk of unexpected system failures. To ensure reliability longevity Li-ion applications, various methods been proposed for health monitoring remaining useful life (RUL) prediction. This paper provides a comprehensive review analysis primary approaches employed RUL estimation under categories model-based, data-driven, hybrid methods. Generally speaking, model-based use physical or electrochemical models simulate behaviour, offers valuable insights into principles that govern degradation. Data-driven techniques leverage historical data, AI, machine learning algorithms identify trends predict RUL, can provide flexible adaptive solutions. Hybrid integrate multiple enhance predictive accuracy by combining with statistical analytical strengths data-driven techniques. thoroughly evaluates these methodologies, focusing on recent advancements along respective limitations. By consolidating current findings highlighting potential pathways advancement, this serves as foundational resource researchers practitioners working advance prediction across both academic industrial fields.

Язык: Английский

Процитировано

4

Data-driven state of health and state of safety estimation for alternative battery chemistries – A comparative review focusing on sodium-ion and LFP lithium-ion batteries DOI Creative Commons
Erik Vanem, Shuai Wang

Deleted Journal, Год журнала: 2025, Номер unknown, С. 100033 - 100033

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Optimized perturbation technique for enhanced broadband impedance measurement in Lithium-ion batteries DOI Creative Commons
Zandile C. Moyo, Fredrick Mukundi Mwaniki

e-Prime - Advances in Electrical Engineering Electronics and Energy, Год журнала: 2025, Номер unknown, С. 100948 - 100948

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Research on Online Energy Management Strategy for Hybrid Energy Storage Electric Vehicles Under Adaptive Cruising Conditions DOI Open Access
Zhiwen Zhang, Jie Tang, Jiyuan Zhang

и другие.

Sustainability, Год журнала: 2025, Номер 17(7), С. 3232 - 3232

Опубликована: Апрель 4, 2025

To address the critical challenge of high energy consumption in single-source electric vehicles, this study proposes a hybrid storage system (HESS)-integrated management strategy (EMS). Firstly, car-following and HESS models are constructed. Secondly, multi-objective optimization framework balancing adaptive cruise control (ACC) optimal tracking quality economy is developed, where fast, non-dominated sorting genetic algorithm (NSGA-II) resolves dynamic power demands. Thirdly, third-order Haar wavelet enables online rolling decomposition profiles. The high-frequency transient matched by supercapacitor, while low-frequency steady-state utilized as an input variable to controller. Then, fuzzy logic controller dynamically optimizes HESS’s distribution based on state-of-charge (SOC) load conditions. Finally, simulation model has been constructed utilizing MATLAB/Simulink platform. Comparative analysis under Urban Dynamometer Driving Schedule (UDDS) demonstrates 3.71% reduction total demand ego vehicle compared front vehicle. Compared configurations, ensures smoother SOC dynamics lithium-ion batteries. After employing for power, battery substantially reduced. three strategies that wavelet-fuzzy approach exhibits superior comprehensive performance. Consequently, proposed effectively mitigates peak charge/discharge currents entire This provides novel solution systems vehicles (HESEV) ACC scenarios.

Язык: Английский

Процитировано

0

Hybrid Electrochemical Circuit Modeling and Variable Forgetting Factor Sliding Window Recursive Least Squares Linearization Chaos Firefly Optimization Full-Parameter Identification for Lithium-Ion Batteries DOI

Liangwei Cheng,

Shunli Wang, Lei Zhou

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Adaptive dynamic correction factor-extended Kalman filtering method for precise state of charge estimation with enhanced temperature viability for lithium-ion batteries DOI
Taqdir Ali,

Chunmei Yu,

Paul Takyi‐Aninakwa

и другие.

Ionics, Год журнала: 2025, Номер unknown

Опубликована: Май 3, 2025

Язык: Английский

Процитировано

0

Advances in Sustainable Battery Technologies: Enhancing Longevity, Recycling, and Alternative Components-- A Review DOI Open Access
Tsiye Hailemariam,

Tekletsadik Birkneh

American Journal of Applied Chemistry, Год журнала: 2024, Номер 12(4), С. 77 - 88

Опубликована: Авг. 27, 2024

The field of sustainable battery technologies is rapidly evolving, with significant progress in enhancing longevity, recycling efficiency, and the adoption alternative components. This review highlights recent advancements electrode materials, focusing on silicon anodes sulfur cathodes. Silicon improve capacity through lithiation delithiation processes, while cathodes offer high energy density, despite inherent challenges. Recycling are also advancing, mechanical methods achieving 60% hydrometallurgical processes reaching 75%, pyrometallurgical 85% efficiency. These improvements contribute to a more lifecycle for batteries. Moreover, shift towards components, such as organic batteries, sodium-ion solid-state gaining momentum, representing 10%, 20%, 15% market, respectively. alternatives address environmental concerns enhance performance reliability. developments underscore importance ongoing innovation materials overcome current As industry continues evolve, these pave way efficient environmentally friendly storage solutions, promising future technologies.

Язык: Английский

Процитировано

1

Lithium Battery SOC Estimation Based on Type-2 Fuzzy Cerebellar Model Neural Network DOI Open Access
Jing Zhao, M. M. Ge, Qiyu Huang

и другие.

Electronics, Год журнала: 2024, Номер 13(24), С. 4999 - 4999

Опубликована: Дек. 19, 2024

Accurate estimation of the state charge (SOC) lithium batteries is critical for safe and optimal operation battery management systems (BMSs). Traditional SOC methods are often limited by model inaccuracy noise interference. In this study, a novel type-2 fuzzy cerebellar neural network (Type-2 FCMNN) proposed accurately estimating batteries. Based on traditional (FCMNN), rules innovatively introduced to enhance robustness against uncertainties disturbances. This enables better cope with nonlinear complexity external disturbances when dealing significantly improves accuracy prediction. On basis, analyzing working principle batteries, equivalent circuit successfully established simulated tested Simulink R2022b, which provides theoretical basis selection size input parameters subsequent network. Then, paper designs implements based Type-2 FCMNN tests it in Matlab. Finally, carries out simulation comparison experiments between various classical algorithms Matlab R2022b including FCMNN, backpropagation network, radial function Kalman filtering algorithm. The results show that exhibits significant advantage accuracy, mean absolute error root square values only 43.1% 36.0% FCMNN’s, respectively, while achieves best among compared methods.

Язык: Английский

Процитировано

0

Analysis of Impact of Control Strategies on Integrated Electric Propulsion System Performance During Icebreaking Process DOI Creative Commons
Liang Li, Ping Yi, Shen Wu

и другие.

Journal of Marine Science and Engineering, Год журнала: 2024, Номер 12(10), С. 1888 - 1888

Опубликована: Окт. 21, 2024

Developing an efficient power system is important way for icebreakers to respond high maneuverability and strong fluctuation loads under icebreaking conditions. The performance of systems short-period, regularly fluctuating load-sea conditions has been intensively studied. However, the in face a long-period, stochastic multi-frequency process not fully explored, especially parameter uncertainty battery cycle life. In this study, integrated electric propulsion with optimal control strategy suggested improving system’s dynamic First, energy flow model diesel–electric unit as main body coupled storage system/hybrid constructed. A comparative analysis rule-based optimization-based management strategies performed, optimized programming global regulation at upper level predictive lower integrate slow fast powers achieve adaptability loads. strategy, uncertainties parameters have introduced eliminate their impact on performance. Then, simulated, hybrid supercapacitor recommended reach multi-objective lowest unit, highest efficiency, minimum degradation. Finally, fuel oil consumption emissions discussed, can save by up 5.33% reduce CO2 emission 22% during process, exhibiting great potential environmental friendliness significant advantages terms low consumption.

Язык: Английский

Процитировано

0

Multi-scale analysis of voltage curves for accurate and adaptable lifecycle prediction of lithium-ion batteries DOI

Hongmin Jiang,

Qiangxiang Zhai,

Nengbing Long

и другие.

Journal of Power Sources, Год журнала: 2024, Номер 627, С. 235768 - 235768

Опубликована: Ноя. 14, 2024

Язык: Английский

Процитировано

0