NSTL国家科技图书文献中心

1. SOC estimation of high capacity NMC lithium-ion battery using ensemble Kalman Bucy filter NSTL国家科技图书文献中心

Zaki, Mohamed R. | El-Beltagy, Mohamed ...... - 《Ionics》 - 2025,31(2) - 1451～1465 - 共15页

摘要：. Accurate state of charge (SOC) estimation* is crucial for* | evaluates three SOC* estimation methods: particle filter* | ensemble Kalman-Bucy filter (DEnKBF) for SOC estimation | Nickel manganese cobalt oxide (NMC) lithium | -ion batteries are widely used in electric vehicles

关键词： Nickel manganese cobalt oxide (NMC) | State of charge (SOC) estimation | Ensemble Kalman Bucy filter (EnKBF) | Deterministic ensemble Kalman Bucy filter (DEnKBF) | Particle filter (PF)

2. SOC Estimation of Lithium-Ion Battery Pack Based on Discharge Stage Division and Fusion Modeling NSTL国家科技图书文献中心

Chen, Yuan | Liu, Yanzhong ... - 《IEEE Transactions on Instrumentation and Measurement》 - 2025,74(Pt.1) - 2515914.1～2515914.14 - 共14页

摘要： pack SOC* estimation approach based on discharge stage* | employed for SOC* estimation as the consistency between* | challenging to estimate the state of charge (SOC) of the | discharge characteristics and SOC* inconsistency, three* | impact of battery inconsistency on battery SOC

关键词： Batteries | State of charge | Discharges (electric) | Estimation | Integrated circuit modeling | Accuracy | Computational modeling | Long short term memory | Mathematical models | Prediction algorithms...

3. Prognosis-enabled battery SOC estimation using a closed-loop approach with consideration of SOH degradation☆ NSTL国家科技图书文献中心

Lyu, Dongzhen | Zhang, Bin ... - 《Journal of Energy Storage》 - 2025,106(Jan.) - 1.1～1.10 - 共10页 - 被引量：1

摘要： charge (SOC) estimation* method is proposed, which* | degradation in SOC estimation methods. The joint estimation | . The proposed method achieves SOC* estimation through* | closed-loop referencing for conventional SOC estimation | estimating remaining dischargeable time (RDT) and SOC. A

关键词： Prognostics and health management | State of charge | State of health | Remaining dischargeable time | Differential model decomposition | Equivalent circuit model | LITHIUM-ION BATTERIES | DIAGNOSIS | MODEL | MANAGEMENT

4. Wide temperature multi-condition SOC estimation for Li-ion batteries based on F-FOMIAEKF NSTL国家科技图书文献中心

Li, Junjie | Zhou, Jun ... - 《Measurement Science & Technology》 - 2025,36(2) - 1～13 - 共13页

摘要： research on SOC* estimation is based on the integer order* | The state of charge (SOC) of the batteries is | SOC of lithium-ion batteries under wide temperature | and multiple operating conditions. In the SOC | estimation algorithm, because the new measurement data

关键词： SOC | EKF | lithium-ion batteries | fractional order model | multi-innovation theory

5. Nonlinear modeling and SOC estimation of lithium-ion batteries based on block-oriented structures NSTL国家科技图书文献中心

Yunkun Chu | Naxin Cui ... - 《Energy》 - 2025,315(Jan..15) - 134273.1～134273.16 - 共16页

摘要：) estimation. The RMSE and MAE of the SOC* estimation results* | filter algorithm is introduced for state of charge (SOC | are around 0.6% with no initial error in SOC, which | in the presence of initial errors in SOC. | The accuracy of lithium-ion battery model

关键词： Lithium-ion battery | Nonlinear modeling | Hammerstein-CARMA configuration | Multi-strategy improved coyote optimization | algorithm | Adaptive extended Kalman filter

6. A comprehensive equivalent circuit model of Li-ion batteries for SOC estimation in electric vehicles based on parametric sensitivity analysis NSTL国家科技图书文献中心

Prashant,Aher | Raviraj,Deshmukh ... - 《Ionics》 - 2025,31(1) - 287～303 - 共17页

摘要： approach of SOC* estimation uses offline identification of* | simplified model-based SOC* estimation. First, the second* | filter-based SOC* estimation at different SOHs is* | Abstract On-board estimation* of battery state* | of charge (SOC) plays a critical role in various

关键词： Battery state estimation | Equivalent circuit model | Model parameter sensitivity | Online parameter identification | Sate of health | State of charge

7. Distribution, Scale, and Context Sensitive, Convolutional Neural Network-Based SOC Estimation for Li-ion Batteries NSTL国家科技图书文献中心

Halil Çimen - 《IEEE transactions on industrial informatics》 - 2025,21(2) - 1990～1999 - 共10页

摘要： neural network-based state of charge estimation* model* | Li-ion batteries play a crucial role in green | energy goals, but estimating their parameters is | challenging due to their nonlinear structure, aging effects | , and varying chemistries. In this article, a

关键词： State of charge | Data models | Estimation | Context modeling | Predictive models | Analytical models | Feature extraction | Computational modeling | Adaptation models | Accuracy

8. Research on the output characteristics and SOC estimation method of lithium-ion batteries over a wide range of operating temperature conditions NSTL国家科技图书文献中心

Xiong Shu | Yongjing Li ... - 《Energy》 - 2025,317(Feb.15) - 134726.1～134726.13 - 共13页

摘要： variations can lead to inaccurate SOC* estimation. To* | analysis results, an SOC* estimation method, combining* | remains a concern. Accurate estimation* of the state of* | charge (SOC) is crucial to enhance battery safety and | With the rapid growth of the EV market, the

关键词： Lithium-ion battery | Electric vehicle | SOC | FFRLS-AEKF

9. State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation NSTL国家科技图书文献中心

Badfar M. | Yildirim M.... - 《Journal of Power Sources》 - 2025,628(Feb.1) - 1.1～1.9 - 共9页

摘要： the estimation* of state-of-charge (SOC), pivotal for* | environments, deploying SOC* estimation methods in industrial* | introduce a novel SOC* estimation method that leverages* | -battery SOC* estimation. Through a comprehensive* | SOC estimation.

关键词： Distribution discrepancy | Lithium-ion batteries | SOC estimation | Unsupervised domain adaptation

10. Data-optimization based SOC-SOH estimation for lithium-ion batteries with current bias compensation NSTL国家科技图书文献中心

Min Ye | Gaoqi Lian ... - 《Energy》 - 2025,321(Apr.15) - 135490.1～135490.15 - 共15页

摘要：-state of health (SOC-SOH) estimation* method with* | subsequently used for high-precision SOC* estimation under* | Error and Mean Absolute Error of SOC estimation | To achieve high-precision state estimation* for* | the impact of current bias on the state estimation

关键词： Data optimization | Lithium-ion batteries | Improved parameter identification framework | State estimation | Current bias compensation | Scalable battery management system

摘要：. Accurate state of charge (SOC) estimation is crucial for | evaluates three SOC estimation methods: particle filter | ensemble Kalman-Bucy filter (DEnKBF) for SOC estimation | Nickel manganese cobalt oxide (NMC) lithium | -ion batteries are widely used in electric vehicles

关键词： Nickel manganese cobalt oxide (NMC) | State of charge (SOC) estimation | Ensemble Kalman Bucy filter (EnKBF) | Deterministic ensemble Kalman Bucy filter (DEnKBF) | Particle filter (PF)

摘要： pack SOC estimation approach based on discharge stage | employed for SOC estimation as the consistency between | challenging to estimate the state of charge (SOC) of the | discharge characteristics and SOC inconsistency, three | impact of battery inconsistency on battery SOC

关键词： Batteries | State of charge | Discharges (electric) | Estimation | Integrated circuit modeling | Accuracy | Computational modeling | Long short term memory | Mathematical models | Prediction algorithms...

摘要： charge (SOC) estimation method is proposed, which | degradation in SOC estimation methods. The joint estimation | . The proposed method achieves SOC estimation through | closed-loop referencing for conventional SOC estimation | estimating remaining dischargeable time (RDT) and SOC. A

关键词： Prognostics and health management | State of charge | State of health | Remaining dischargeable time | Differential model decomposition | Equivalent circuit model | LITHIUM-ION BATTERIES | DIAGNOSIS | MODEL | MANAGEMENT

摘要： research on SOC estimation is based on the integer order | The state of charge (SOC) of the batteries is | SOC of lithium-ion batteries under wide temperature | and multiple operating conditions. In the SOC | estimation algorithm, because the new measurement data

关键词： SOC | EKF | lithium-ion batteries | fractional order model | multi-innovation theory

摘要：) estimation. The RMSE and MAE of the SOC estimation results | filter algorithm is introduced for state of charge (SOC | are around 0.6% with no initial error in SOC, which | in the presence of initial errors in SOC. | The accuracy of lithium-ion battery model

关键词： Lithium-ion battery | Nonlinear modeling | Hammerstein-CARMA configuration | Multi-strategy improved coyote optimization | algorithm | Adaptive extended Kalman filter

摘要： approach of SOC estimation uses offline identification of | simplified model-based SOC estimation. First, the second | filter-based SOC estimation at different SOHs is | Abstract On-board estimation of battery state | of charge (SOC) plays a critical role in various