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Estimation of the battery state of charge: A Switching Markov state-space model [PDF]
2015 23rd European Signal Processing Conference (EUSIPCO), 2015 An efficient estimation of the State of Charge (SoC) of a battery is a challenging issue in the electric vehicle domain. The battery behavior depends on its chemistry and uncontrolled usage conditions, making it very difficult to estimate the SoC. This paper introduces a new model for SoC estimation given instantaneous measurements of current and ...
Kalawoun, Jana +4 more
openaire +7 more sources
Comparative Analysis of Battery State of Charge Estimation Methods [PDF]
E3S Web of ConferencesLithium-ion batteries are widely used in electric vehicles, buses, etc., due to their high-power density, long lifespan, and high energy density. To efficiently manage energy in these vehicles, a Battery Management System (BMS) is crucial.
Margal Ali +3 more
doaj +2 more sources
A Critical Look at Coulomb Counting Approach for State of Charge Estimation in Batteries
Energies, 2021 In this paper, we consider the problem of state-of-charge estimation for rechargeable batteries. Coulomb counting is a well-known method for estimating the state of charge, and it is regarded as accurate as long as the battery capacity and the beginning ...
Kiarash Movassagh +3 more
doaj +1 more source
Batteries, 2022 Differential capacity dQ/dU (capacitance) can be used for the instant diagnosis of battery performance in common constant current applications. A novel criterion allows state-of-charge (SOC) and state-of-health (SOH) monitoring of lithium-ion batteries ...
Peter Kurzweil +2 more
doaj +1 more source
Real-time state of charge estimation of electrochemical model for lithium-ion battery [PDF]
, 2020 This paper proposes the real-time Kalman filter based observer for Lithium-ion concentration estimation for the electrochemical battery model. Since the computation limitation of real-time battery management system (BMS) micro-processor, the battery ...
Fan, Chuanxin +2 more
core +1 more source
Real-Time State of Charge Estimation of Light Electric Vehicles Based on Active Power Consumption
IEEE Access, 2023 Battery state of charge estimation is not new, and the literature is rich in examples. Still, in most cases, state of charge algorithms are embedded in battery chargers and do not present the charging stage with a standard communication form, thus ...
Marco Pasetti +2 more
doaj +1 more source
ELM- and MCSCKF-based state of charge estimation for lithium-ion batteries
工程科学学报, 2023 Lithium-ion batteries are widely used in electric vehicles and energy storage systems. As a prerequisite for the safe and efficient application of lithium-ion batteries, battery management systems have received extensive attention worldwide.
Qiao WANG +4 more
doaj +1 more source
Batteries, 2023 This study presents a novel data-driven method for state-of-charge estimation in lithium-ion batteries. It integrates a temporal convolutional network with multi-verse optimization to enhance the accuracy of predicting the state of charge.
Yuanmao Li, Guixiong Liu, Wei Deng
doaj +1 more source
Mathematics, 2022 The battery management system in an electric vehicle must be reliable and durable to forecast the state of charge. Considering that battery degradation is generally nonlinear, state of charge (SOC) estimation with lower degradation can be challenging ...
Sadiqa Jafari +3 more
doaj +1 more source
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
core +1 more source