Sep 2026· Revue Roumaine des Sciences Techniques - Serie Electrotechnique et Energetique· Vol 71, pp. 415-420· 0 citations· 24 references
Abstract
Accurate state-of-charge (SOC) estimation is critical for reliable battery management. To address the limitations of conventional models, this paper presents a robust adaptive estimation framework that combines fractional-order modeling with extended Kalman filtering (EKF). The approach uses a computationally efficient fractional-order equivalent circuit model (FO-ECM) to represent nonlinear battery behavior. Its key innovation is augmenting the EKF’s state vector to jointly estimate SOC and slowly varying internal resistances, enabling real-time model adaptation to aging and temperature changes without separate health monitoring. Validated under dynamic loads and varying temperatures, the framework achieves SOC estimation with root mean square error (RMSE) consistently below 3.5% and robust convergence despite noise and initial uncertainty.
The accurate estimation of State of Charge (SoC) is critical for safe, reliable, and optimistic operation of Battery Electric Vehicles (BEVs). Nevertheless, achieving robust SoC estimation is a big challenge because of nonlinear battery dynamics, parameter variability, sensor noise, and uncertain initial conditions. St...
Mazhar Hussain Shaik, Shafiq Ul Rehman, I. Ibrahim· Clean Energy Science and Tec...· 0 citations
This paper proposes a Koopman-based state-of-charge (SOC) observer for lithiumion batteries designed in a lifted linear space identified via extended dynamic mode decomposition with control (EDMDc). Accurate SOC estimation still remains challenging, since battery electrochemical dynamics are highly nonlinear and the...
Sounghwan Hwang, Guan-Lin Wu, Minhyun Cho et al.· ASME Letters in Dynamic Syst...· 0 citations
The accuracy of state-of-charge (SOC), state-of-energy (SOE), and state-of-health (SOH) estimations directly affects the system’s ability to sense the battery's state. Therefore, this paper proposes a multi-state co-estimation method that integrates adaptive particle filtering with gated recurrent unit (GRU) error co...
Chao Wang, Shun-Li Wang, Lei Chen et al.· Journal of the Electrochemic...· 0 citations
Accurate state estimation is crucial in various fields, particularly in control systems and signal processing, as it directly influences system performance and reliability. In environments where measurements are susceptible to noise and external disturbances, the ability to derive precise state estimations enables effe...
R. K, Shijoh Vellayikot· International Conference Inn...· 0 citations
Accurate state-of-charge (SOC) estimation is essential for ensuring the safety, reliability, and energy efficiency of lithium-ion battery packs in electric vehicles. Conventional estimation methods often couple state and parameter estimation, resulting in error propagation and reduced robustness under dynamic operating...
M. Magdy, Fatma Hanafy, B. Abou-Zalam et al.· Scientific Reports· 0 citations
Due to significant electrothermal coupling, solid‐state lithium‐ion batteries pose challenges for accurately estimating battery state in battery management systems. This paper proposes a Dual‐Extended Kalman Filter (DEKF) framework for joint estimation of state of charge (SOC) and state of temperature (SOT). A second‐o...
Ai-Na Tian, Chengshun Gong, Rong-Wei Wang et al.· Energy Technology· 0 citations
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