Article
Chemistry, Physical
Jonas A. Braun, Rene Behmann, David Schmider, Wolfgang G. Bessler
Summary: Accurately diagnosing the SOC and SOH of batteries is crucial for battery users and manufacturers. This study presents a new algorithm that uses battery voltage as input for a voltage-controlled model to accurately estimate SOC and SOH. The algorithm is self-calibrating, robust against cell aging, allows SOH estimation from arbitrary load profiles, and is numerically simpler than state-of-the-art model-based methods.
JOURNAL OF POWER SOURCES
(2022)
Article
Thermodynamics
Emanuele Buchicchio, Alessio De Angelis, Francesco Santoni, Paolo Carbone, Francesco Bianconi, Fabrizio Smeraldi
Summary: Estimating the state of charge (SOC) of batteries is crucial for the proper functioning and safety of various systems. This study proposes a SOC estimation approach based on electrochemical impedance spectroscopy (EIS) and an equivalent circuit model. Through experimental validation, the approach achieves over 93% accuracy and has the advantage of efficient model training. The resulting low-dimensional classification model can be embedded into battery-powered systems for online SOC estimation.
Article
Engineering, Electrical & Electronic
Bikash Sah, Praveen Kumar
Summary: Accurate estimation of battery parameters and states is crucial for enhancing safety and reliability. This study proposes charger-side online parameter and state estimation algorithms based on impedance and equivalent circuit parameters determined during charging. The experimental results demonstrate the effectiveness of the proposed algorithms for estimating battery parameters and states for different charging scenarios. The algorithms are also applicable to other types of Li-ion batteries.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2023)
Review
Energy & Fuels
Md Ohirul Qays, Yonis Buswig, Md Liton Hossain, Ahmed Abu-Siada
Summary: This paper presents a comprehensive review on the most recent classifications and mathematical models for SOC estimation and also discusses future trends for SOC estimation methods.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2022)
Article
Energy & Fuels
F. Hipolito, C. A. Vandet, J. Rich
Summary: The increasing interest in electric vehicle (EV) charging situation has led to the development of models that approximate the distribution of State-of-Charge (SoC) levels for EVs. These models help understand charging needs and provide crucial information for vehicle-to-grid (V2G) applications. The study suggests that a full electrification of the vehicle fleet could stress the power grid but also offers potential for deploying V2G as a mechanism to dampen high-demand effects.
Article
Automation & Control Systems
Zhongbao Wei, Guangzhong Dong, Xinan Zhang, Josep Pou, Zhongyi Quan, Hongwen He
Summary: Accurate estimation of state of charge (SOC) in battery systems is crucial for safe and efficient utilization. This article examines the impact of measurement noises on model parameter identification and SOC estimation, proposing a novel parameterization method to address noise-induced biases and improving immunity to noise corruption.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Electrochemistry
Ujwal N. Jibhkate, Uday B. Mujumdar
Summary: This paper proposes a simple and low complexity open-circuit voltage model for estimating the State of Charge (SOC) of a battery. To improve accuracy, the model is modified using a two-degree polynomial function dependent on the remaining useful life (RUL). Experimental results show that the proposed model efficiently limits the error below a certain threshold for the entire SOC range.
ELECTROCHIMICA ACTA
(2022)
Article
Energy & Fuels
Omid Rezaei, Ali Rahdan, Sohrab Sardari, Masoud Dahmardeh, Zhanle Wang
Summary: This paper proposes a novel fuzzy robust two-stage unscented Kalman filter (FRTSUKF) method for the practical state of charge (SoC) estimation of lithium-ion batteries. The proposed estimator is able to estimate the model uncertainties without requiring the statistical characteristics of the uncertainties. Using the estimated uncertainties, the SoC estimation is corrected, eliminating the destructive effect of model inaccuracy on the estimation accuracy.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Green & Sustainable Science & Technology
M. Becherif, H-S Ramadan, A. Benmouna, S. Jemei
Summary: This study focuses on developing a hybrid Coulomb counting/impedance measurement approach to accurately determine the State-of-Charge (SOC) of battery electric vehicles. This approach aims to extend battery life and optimize battery management. The initial SOC is estimated using impedance measurement, and then Coulomb counting is used to further estimate the SOC. Experimental and theoretical verification validate the effectiveness of this proposed method.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Energy & Fuels
Mehmet Korkmaz
Summary: Accurate state-of-charge (SoC) estimation is crucial for the efficient management and protection of Li-Ion batteries, especially in electrified vehicles. However, the complexity of electrochemical reactions and environmental variables make accurate SoC estimation challenging. Traditional methods suffer from limitations, while data-driven approaches have gained popularity for building models based on battery parameters. This study aims to comprehensively compare ML methods and evaluate the effectiveness of different filters for outlier removal in improving SoC estimation.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Yohei Kawahara, Kei Sakabe, Ryohei Nakao, Kenichiro Tsuru, Keiichiro Okawa, Yoshinori Aoshima, Akihiko Kudo, Akihiko Emori
Summary: A new method is developed to detect the status of HEV batteries, accurately obtaining the state of charge and health of the batteries. The method also has an auto-tuning function for battery parameters, as confirmed by simulation evaluations showing less than 5% SOC error. The state of health gradually converges to the true value by repeated simulation evaluations.
JOURNAL OF POWER SOURCES
(2021)
Article
Engineering, Electrical & Electronic
Xiang Yun, Xin Zhang, Xingming Fan
Summary: In order to overcome the large errors in SOC estimation using model methods, this paper proposes an online SOC evaluation method based on fuzzy PID optimized unscented Kalman filter (FPID-UKF) by integrating data-driven and model-based methods. The method establishes a fusion method SOC evaluation model architecture, analyzes the data-model fusion evaluation method, and studies the online evaluation method of FPID-UKF.
ELECTRICAL ENGINEERING
(2023)
Article
Energy & Fuels
Guangwei Wan, Qiang Zhang, Menghan Li, Siyuan Li, Zehao Fu, Junjie Liu, Gang Li
Summary: To solve the problem of battery cell disparity in lithium-ion battery systems, battery balancing techniques are necessary. This paper proposes an improved battery balancing strategy using a reconfigurable converter system. The strategy is based on the state of charge (SOC) of batteries and utilizes the converter system to transfer energy from batteries with high SOC to those with lower SOC. The simulation results demonstrate that the proposed strategy achieves more efficient and accurate battery module balancing compared to previous modes.
Article
Automation & Control Systems
Hui Chen, Engang Tian, Licheng Wang
Summary: This article investigates the estimation problem of the state of charge (SOC) of Lithium-ion batteries. It considers the unreliability and data missing phenomenon of sensor measured data, and proposes a data-unavailability-resistant nonlinear recursive filtering algorithm to estimate the real SOC in an unreliable industrial environment.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Energy & Fuels
Shulin Liu, Xia Dong, Xiaodong Yu, Xiaoqing Ren, Jinfeng Zhang, Rui Zhu
Summary: This paper presents an adaptive unscented Kalman filter algorithm (AUKF) for the joint estimation of SOC and SOH of lithium-ion batteries. The proposed method is verified to be accurate and reliable through experiments.
