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Battery Health Prognosis for Electric Vehicles Using Sample Entropy and Sparse Bayesian Predictive Modeling

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Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications

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A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles

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General Discharge Voltage Information Enabled Health Evaluation for Lithium-Ion Batteries

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Health Prognosis for Electric Vehicle Battery Packs: A Data-Driven Approach

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Joint estimation of battery state-of-charge and state-of-health based on a simplified pseudo-two-dimensional model

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State of art on state estimation: Kalman filter driven by machine learning

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Lithium-ion battery state-of-charge estimation for small target sample sets using the improved GRU-based transfer learning

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Current sensor fault diagnosis method based on an improved equivalent circuit battery model

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Effects analysis on heat dissipation characteristics of lithium-ion battery thermal management system under the synergism of phase change material and liquid cooling method

Feng, Y., Jiaqiang, E., Zhang, B., Zuo, H., Wei, K., Chen, J., Zhu, H. Y., Zhu, H., & Deng, Y. (2021) · Renewable Energy · doi:10.1016/j.renene.2021.09.073 · Cited by 155

A review of studies using hydrocarbon adsorption material for reducing hydrocarbon emissions from cold start of gasoline engine

Han, D., Jiaqiang, E., Deng, Y., Chen, J., Leng, E., Liao, G., Zhao, X., Feng, C., & Zhang, F. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.110079 · Cited by 153

Combined internal resistance and state-of-charge estimation of lithium-ion battery based on extended state observer

Sun, L. N., Li, G., & You, F. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109994 · Cited by 151

State-of-charge estimation for the lithium-ion battery based on adaptive extended Kalman filter using improved parameter identification

Shi, N., Chen, Z., Niu, M., He, Z., Wang, Y., & Cui, J. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103518 · Cited by 155

Review of state-of-the-art battery state estimation technologies for battery management systems of stationary energy storage systems

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Effect analysis on SOC values of the power lithium manganate battery during discharging process and its intelligent estimation

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Stage of Charge Estimation of Lithium-Ion Battery Packs Based on Improved Cubature Kalman Filter With Long Short-Term Memory Model

Shu, X., Li, G., Zhang, Y., Shen, S., Chen, Z., & Liu, Y. (2020) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2020.3041757 · Cited by 126

Co-estimation of model parameters and state-of-charge for lithium-ion batteries with recursive restricted total least squares and unscented Kalman filter

Zhu, R., Duan, B., Zhang, J., Zhang, Q., & Zhang, C. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115494 · Cited by 123

State of health prognostics for series battery packs: A universal deep learning method

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An adaptive central difference Kalman filter approach for state of charge estimation by fractional order model of lithium-ion battery

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Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network

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A review on rapid state of health estimation of lithium-ion batteries in electric vehicles

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Heat dissipation investigation of the power lithium-ion battery module based on orthogonal experiment design and fuzzy grey relation analysis

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A comprehensive review on performance improvement of micro energy mechanical system: Heat transfer, micro combustion and energy conversion

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An adaptive multi-state estimation algorithm for lithium-ion batteries incorporating temperature compensation

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Effects analysis on active equalization control of lithium-ion batteries based on intelligent estimation of the state-of-charge

Jiaqiang, E., Zhang, B., Zeng, Y., Wen, M. C., Wei, K., Huang, Z., Chen, J., Zhu, H., & Deng, Y. (2021) · Energy · doi:10.1016/j.energy.2021.121822 · Cited by 98

State-of-charge estimation tolerant of battery aging based on a physics-based model and an adaptive cubature Kalman filter

Li, X., Huang, Z., Tian, J., & Tian, Y. (2021) · Energy · doi:10.1016/j.energy.2021.119767 · Cited by 96

State of charge prediction framework for lithium-ion batteries incorporating long short-term memory network and transfer learning

Liu, Y., Shu, X., Yu, H., Shen, J., Zhang, Y., Liu, Y., & Chen, Z. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.102494 · Cited by 90

The multi-innovation extended Kalman filter algorithm for battery SOC estimation

Li, W., Yang, Y. J., Wang, D., & Yin, S. (2020) · Ionics · doi:10.1007/s11581-020-03716-0 · Cited by 93

Feature Fusion-Based Inconsistency Evaluation for Battery Pack: Improved Gaussian Mixture Model

Tian, J., Liu, X., Chen, C., Xiao, G., Wang, Y., Kang, Y., & Wang, P. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3211002 · Cited by 89

SOC estimation of retired lithium-ion batteries for electric vehicle with improved particle filter by H-infinity filter

Chen, Y., Li, R., Sun, Z., Zhao, L., & Guo, X. (2023) · Energy Reports · doi:10.1016/j.egyr.2023.01.018 · Cited by 80

A review of battery state of charge estimation and management systems: Models and future prospective

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Effects of Different Biodiesel-Diesel Blend Fuel on Combustion and Emission Characteristics of a Diesel Engine

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Parameter identification and state of charge estimation of Li-Ion batteries used in electric vehicles using artificial hummingbird optimizer

Hamida, M. A., El-Sehiemy, R. A., Ginidi, A. R., Elattar, E. E., & Shaheen, A. M. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104535 · Cited by 72

Joint Estimation of Inconsistency and State of Health for Series Battery Packs

Che, Y., Foley, A. M., El–Gindy, M., Lin, X., Hu, X., & PECHT, M. G. (2021) · Automotive Innovation · doi:10.1007/s42154-020-00128-8 · Cited by 70

Investigation on AEB Key Parameters for Improving Car to Two-Wheeler Collision Safety Using In-Depth Traffic Accident Data

Hu, L., Li, H., Yi, P., Huang, J., Lin, M., & Wang, H. (2022) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3199969 · Cited by 66

State-of-charge estimation for onboard LiFePO4 batteries with adaptive state update in specific open-circuit-voltage ranges

Xiong, R., Duan, Y., Zhang, K., Lin, D., Tian, J., & Chen, C. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.121581 · Cited by 66

Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method

Che, Y., Deng, Z., Tang, X., Lin, X., Nie, X., & Hu, X. (2022) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-021-00668-y · Cited by 64

Research on risky driving behavior evaluation model based on CIDAS real data

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Study on the driving style adaptive vehicle longitudinal control strategy

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Enhanced thermal conductivity and photo-to-thermal performance of diatomite-based composite phase change materials for thermal energy storage

Li, C., Wang, M., Chen, Z., & Chen, J. (2020) · Journal of Energy Storage · doi:10.1016/j.est.2020.102171 · Cited by 57

Hybrid battery management system design for electric aircraft

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Unified Univariate-Neural Network Models for Lithium-Ion Battery State-of-Charge Forecasting Using Minimized Akaike Information Criterion Algorithm

Khalid, A., & Sarwat, A. I. (2021) · IEEE Access · doi:10.1109/access.2021.3061478 · Cited by 47

A Study on Correlation of Traffic Accident Tendency with Driver Characters Using In-Depth Traffic Accident Data

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Renewable integration and energy storage management and conversion in grid systems: A comprehensive review

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A review on key challenges in intelligent vehicles: Safety and driver‐oriented features

Hu, L., Zhou, X., Zhang, X., Wang, F., Li, Q., & Wu, W. (2021) · IET Intelligent Transport Systems · doi:10.1049/itr2.12088 · Cited by 47

Hierarchical soft measurement of load current and state of charge for future smart lithium-ion batteries

Wei, Z., Hu, J. P., Li, Y., He, H., Li, W., & Sauer, D. U. (2021) · Applied Energy · doi:10.1016/j.apenergy.2021.118246 · Cited by 46

Effects of Different Diesel-Ethanol Dual Fuel Ratio on Performance and Emission Characteristics of Diesel Engine

Zhang, Z., Li, J., Tian, J. M., Xie, G., Tan, D., Qin, B., Huang, Y., & Cui, S. (2021) · Processes · doi:10.3390/pr9071135 · Cited by 43

Hydrocarbon emission control of a hydrocarbon adsorber and converter under cold start of the gasoline engine

Feng, C., Deng, Y., Chen, L., Han, W., Jiaqiang, E., Wei, K., Han, D., & Zhang, B. (2021) · Energy · doi:10.1016/j.energy.2021.122138 · Cited by 41

Multiple time scale state-of-charge and capacity-based equalisation strategy for lithium-ion battery pack with passive equaliser

Feng, F., Song, B., Xu, J., Wei, N., Zhang, K., & Chai, Y. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105196 · Cited by 41

Experimental and simulation study on the effect of ZSM-5 hydrocarbon catcher on the emission of gasoline engine during cold start

Feng, C., Deng, Y., Tan, Y., Han, W., Jiaqiang, E., Chen, L., & Han, D. (2021) · Fuel · doi:10.1016/j.fuel.2021.122661 · Cited by 41

Safety evaluation of pedestrian-vehicle interaction at signalized intersections in Changsha, China

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SOC Estimation of Lithium-Ion Battery Based on Equivalent Circuit Model with Variable Parameters

Wang, Q., Gao, T. Y., & Li, X. (2022) · Energies · doi:10.3390/en15165829 · Cited by 40

A review on the optimization of electrolytes to enhance lithium-ion batteries' safety and performance under abuse conditions

Awasthi, S. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113439 · Cited by 37

Optimal parameter identification of linear and non-linear models for Li-Ion Battery Cells

Shaheen, A. M., Hamida, M. A., El-Sehiemy, R. A., & Elattar, E. E. (2021) · Energy Reports · doi:10.1016/j.egyr.2021.10.086 · Cited by 39

Low complexity state-of-charge estimation for lithium-ion battery pack considering cell inconsistency

Dong, H., Huang, W., & Zhao, Y. (2021) · Journal of Power Sources · doi:10.1016/j.jpowsour.2021.230599 · Cited by 38

An Adaptive Tracking-Extended Kalman Filter for SOC Estimation of Batteries with Model Uncertainty and Sensor Error

Ma, D., Gao, K., Mu, Y., Wei, Z., & Du, R. (2022) · Energies · doi:10.3390/en15103499 · Cited by 35

Online Adaptive Model Identification and State of Charge Estimation for Vehicle-Level Battery Packs

Wu, X., Shu, J., Fan, Z., Xie, J., Li, Y., Yang, J., & Deng, Z. (2023) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2023.3274548 · Cited by 35

Effects of Different Mixture Ratios of Methanol-Diesel on the Performance Enhancement and Emission Reduction for a Diesel Engine

Zhang, Z., Tian, J. M., Li, J., Ji, H., Tan, D., Luo, J., Jiang, Y., Yang, D., & Cui, S. (2021) · Processes · doi:10.3390/pr9081366 · Cited by 31

Multi-state joint estimation of series battery pack based on multi-model fusion

Liu, F., Yu, D., Su, W., & Bu, F. (2023) · Electrochimica Acta · doi:10.1016/j.electacta.2023.141964 · Cited by 31

Digital Twin-Driven Estimation of State of Charge for Li-ion Battery

Zhao, K., Liu, Y., Ming, W., Zhou, Y., & Wu, J. (2022) · IEEE International Energy Conference (ENERGYCON) · doi:10.1109/energycon53164.2022.9830324 · Cited by 30

A review on state of charge estimation methods for lithium-ion batteries based on data-driven and model fusion

Yun, X., Zhang, X., Wang, C., & Fan, X. (2025) · Journal of Energy Storage · doi:10.1016/j.est.2025.117389 · Cited by 29

Data-driven state-of-charge estimation of a lithium-ion battery pack in electric vehicles based on real-world driving data

Sun, C., Gao, M., Cai, H., Xu, F., & Zhu, C. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.113986 · Cited by 28

Equivalent sampling-enabled module-level battery impedance measurement for in-situ lithium plating diagnostic

Zhang, S., Wei, Z., Zhang, L., Hu, J. P., & Dai, R. (2024) · Journal of Power Sources · doi:10.1016/j.jpowsour.2024.234239 · Cited by 26

A multi-timescale framework for state monitoring and lifetime prognosis of lithium-ion batteries

Wei, J., & Chen, C. (2021) · Energy · doi:10.1016/j.energy.2021.120684 · Cited by 26

A Fuzzy-based Adaptive Unscented Kalman Filter for State Estimation of Three-dimensional Target Tracking

Kumar, M., & Mondal, S. (2023) · International Journal of Control Automation and Systems · doi:10.1007/s12555-022-0441-9 · Cited by 25

A Fault-Tolerant SoC Estimation Method for Series–Parallel Connected Li-Ion Battery Pack

Zhou, S., Chen, Z., Huang, D., & Lin, T. (2021) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2021.3086555 · Cited by 25

State of Charge Estimation of Lithium-Ion Based on VFFRLS-Noise Adaptive CKF Algorithm

Wang, L., Han, J., Liu, C., & Li, G. (2022) · Industrial & Engineering Chemistry Research · doi:10.1021/acs.iecr.1c03999 · Cited by 23

Effects analysis on hydrocarbon reduction efficiency of a beta zeolite catcher in gasoline engine during cold start

Han, D., Deng, Y., Han, W., Jiaqiang, E., Chen, L., Feng, C., & Zhang, B. (2021) · Fuel · doi:10.1016/j.fuel.2021.121614 · Cited by 23

Remaining discharge energy prediction for lithium-ion batteries over broad current ranges: A machine learning approach

Tu, H., Borah, M., Moura, S. J., Wang, Y., & Fang, H. (2024) · Applied Energy · doi:10.1016/j.apenergy.2024.124086 · Cited by 22

A novel adaptive H‐infinity filtering method for the accurate SOC estimation of lithium‐ion batteries based on optimal forgetting factor selection

Liu, Y., Wang, S., Xie, Y., Fernández, C., Qiu, J., & Zhang, Y. (2022) · International Journal of Circuit Theory and Applications · doi:10.1002/cta.3339 · Cited by 20

Investigations on the soot combustion performance enhancement of a catalytic gasoline particulate filter in equilibrium state for reducing the BSFC of gasoline direct injection engine

Zuo, Q., Tang, Y., Zhu, G., Wei, K., Guan, Q., Zhang, B., & Shen, Z. (2020) · Fuel · doi:10.1016/j.fuel.2020.119032 · Cited by 20

Adaptive Multitimescale Joint Estimation Method for SOC and Capacity of Series Battery Pack

Liu, F., Yu, D., Su, W., Ma, S., & Bu, F. (2023) · IEEE Transactions on Transportation Electrification · doi:10.1109/tte.2023.3314050 · Cited by 20

Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches

Wu, Y., Bai, D., Zhang, K., Li, Y., & Yang, F. (2025) · Journal of Materials Informatics · doi:10.20517/jmi.2024.84 · Cited by 20

An Interpretable Electric Vehicles Battery State of Charge Estimation Using MHDTCN-GRU

K, A. P. N., Rithish, J., Nath, A. G., Singh, S. K., & Singh, R. K. (2024) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2024.3447228 · Cited by 19

Investigation of the Performance and Emission Characteristics of a Diesel Engine with Different Diesel–Methanol Dual-Fuel Ratios

Chen, S., Tian, J. M., Li, J., Li, W., & Zhang, Z. (2021) · Processes · doi:10.3390/pr9111944 · Cited by 19

Effects of Different Injection Strategies on Combustion and Emission Characteristics of Diesel Engine Fueled with Dual Fuel

Luo, J., Liu, Z., Wang, J., Chen, H., Zhang, Z., Qin, B., & Cui, S. (2021) · Processes · doi:10.3390/pr9081300 · Cited by 19

Dynamic Impedance Spectrum: A Novel Metric for Lithium-Ion Batteries Overcharging Diagnosis

Du, X., Meng, J., Amirat, Y., Gao, F., & Benbouzid, M. (2024) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2024.3462975 · Cited by 18

Battery State of Health Estimation Methods: Implementation and Comparison of 11 Algorithms

Kim, E., & Jung, S. (2025) · IEEE Access · doi:10.1109/access.2025.3541631 · Cited by 18

Secure state of charge estimation for lithium-ion batteries under deception attacks based on attack-resilient fractional-order extended Kalman filter

Yang, T., Li, Y., & Zeng, Y. (2024) · Journal of Energy Storage · doi:10.1016/j.est.2024.112438 · Cited by 17

Co-estimation of parameters and state of charge for lithium-ion battery

Li, J., Li, L., Li, Z., Jiang, Z., & Gu, J. (2022) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2022.116011 · Cited by 17

Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluation

Hu, L., Yao, Y., Bo, Y., Huang, J., Tian, Q., Yi, X., & Li, Q. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.02.026 · Cited by 17

Nonlinear receding-horizon filter approximation with neural networks for fast state of charge estimation of lithium-ion batteries

Lopes, E. D. R., Soudré, M. M., Llanos, C. H., & Ayala, H. V. H. (2023) · Journal of Energy Storage · doi:10.1016/j.est.2023.107677 · Cited by 17

Energy management strategy that optimizes battery degradation for electric vehicles with hybrid energy storage system

Wang, J., Pan, C., & Li, Z. (2025) · Science China Technological Sciences · doi:10.1007/s11431-024-2766-3 · Cited by 16

Adaptive Cruise Control Strategy Design with Optimized Active Braking Control Algorithm

Wu, W., Zou, D., Ou, J., & Hu, L. (2020) · Mathematical Problems in Engineering · doi:10.1155/2020/8382734 · Cited by 16

Modified wind energy collection devices for harvesting convective wind energy from cars and trucks moving in the highway

Hu, W., Jiaqiang, E., Tan, Y., Zhang, F., & Liao, G. (2022) · Energy · doi:10.1016/j.energy.2022.123454 · Cited by 16

Estimation and balancing of multi-state differences between lithium-ion cells within a battery pack

Docimo, D. J. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.104264 · Cited by 16

Application of adaptive extended Kalman algorithm based on strong tracking fading factor in Stat-of-Charge estimation of lithium-ion battery

Zhan, M., Wu, B., Xu, G., Li, W., Liang, D., & Zhang, X. (2023) · Energy · doi:10.1016/j.energy.2023.129095 · Cited by 15

Effect of Different Technologies on Performance Enhancement of the Micro-Combustor for the Micro Thermophotovoltaic Application: A Review

Tan, D., Ran, G., Xie, G., Wang, J., Luo, J., Huang, Y., Cui, S., & Zhang, Z. (2021) · Energies · doi:10.3390/en14206577 · Cited by 15

State estimation and remaining useful life prediction for lithium-ion batteries

Ekberg, J., Sridharan, N. V., Karim, R., & Atta, K. T. (2025) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2025.102854 · Cited by 15

Improved Backward Smoothing—Square Root Cubature Kalman Filtering and Variable Forgetting Factor—Recursive Least Square Modeling Methods for the High-Precision State of Charge Estimation of Lithium-Ion Batteries

Zhang, M., Wang, S., Yang, X. G., Xie, Y., Liu, K., & Zhang, C. (2023) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/acb10b · Cited by 13

Advancements and prospects of fuzzy-based adaptive unscented Kalman filters for nonlinear systems: A review

Kumar, M., & Mondal, S. (2025) · Applied Soft Computing · doi:10.1016/j.asoc.2025.113297 · Cited by 14

A Parameter Identification Method for Lithium-Ion Batteries Using Simplified Impedance Model and Fractional Order Kalman Filter

Liu, Z., Qiu, Y. Y., Yang, C., Feng, J., & Jing, B. (2021) · Journal of Electrical Engineering and Technology · doi:10.1007/s42835-021-00887-2 · Cited by 12

State of charge estimation for lithium-ion batteries based on fractional order multiscale algorithm

Guo, H., Han, X., Yang, R. L., & Shi, J. (2022) · Journal of Energy Storage · doi:10.1016/j.est.2022.105630 · Cited by 11

A Fast Lithium-Ion Battery Impedance and SOC Estimation Method Based on Two-Stage PI Observer

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Probabilistic state-of-charge estimation of lithium-ion batteries considering cell-to-cell variability due to manufacturing tolerance

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