Results 21 to 30 of about 736,057 (283)
IEEE Access, 2020 The accurate state of charge (SoC) online estimation is a significant indicator that relates to driving ranges of electric vehicles (EV). The relationship between open circuit voltage (OCV) and SoC plays an important role in SoC estimation for lithium ...
Yuan Li +4 more
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General Model and SOC Estimation of Battery
International Journal of Circuits, Systems and Signal Processing, 2021 Monitoring the battery state is of great importance for the safety and normal of the systems which are powered by batteries. SOC (State of Charge) is one of the most important state parameters of battery. SOC cannot be measured directly. The Kalman filter algorithm is one of the techniques often applied to estimate SOC value.
Li Meng, Haipeng Guo, Xiaowei Zhao
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Estimation of the SOC of Energy-Storage Lithium Batteries Based on the Voltage Increment
IEEE Access, 2020 State of charge (SOC) estimations are an important part of lithium-ion battery management systems. Aiming at existing SOC estimation algorithms based on neural networks, the voltage increment is proposed in this paper as a new input feature for ...
Bo Zhao +6 more
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Electric vehicle battery model identification and state of charge estimation in real world driving cycles [PDF]
, 2015 This paper describes a study demonstrating a new method of state-of-charge (SoC) estimation for batteries in real-world electric vehicle applications. This method combines realtime model identification with an adaptive neuro-fuzzy inference system (ANFIS)
Auger, Daniel J. +2 more
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Introduction of SOC estimation method
IOP Conference Series: Earth and Environmental Science, 2021 Abstract This paper introduces the definition of SOC estimation and analyzes the common estimation methods, including discharge experiment method, open circuit voltage method, internal resistance method, ampere hour method, linear model method, neural network algorithm and Kalman filter method.
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State-of-charge and state-of-health prediction of lead-acid batteries for hybrid electric vehicles using non-linear observers [PDF]
, 2005 The paper describes the application of state-estimation techniques for the real-time prediction of state-of-charge (SoC) and state-of-health (SoH) of lead-acid cells.
Bentley, P +3 more
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Open-Circuit Voltage Models for Battery Management Systems: A Review
Energies, 2022 A battery management system (BMS) plays a crucial role to ensure the safety, efficiency, and reliability of a rechargeable Li-ion battery pack. State of charge (SOC) estimation is an important operation within a BMS.
Prarthana Pillai +4 more
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Maximum-likelihood estimation for diffusion processes via closed-form density expansions [PDF]
, 2013 This paper proposes a widely applicable method of approximate maximum-likelihood estimation for multivariate diffusion process from discretely sampled data.
Li, Chenxu
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New battery model and state-of-health determination through subspace parameter estimation and state-observer techniques [PDF]
, 2009 This paper describes a novel adaptive battery model based on a remapped variant of the well-known Randles' lead-acid model. Remapping of the model is shown to allow improved modeling capabilities and accurate estimates of dynamic circuit parameters when ...
Bentley, P. +3 more
core +2 more sources
Energies, 2018 State of charge (SOC) is one of the most important parameters in battery management systems, as it indicates the available battery capacity at every moment.
Ana-Irina Stroe +5 more
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