A Battery SOC Estimation Method Based on AFFRLS-EKF. [PDF]
Sensors (Basel), 2021 The lithium-ion battery is the key power source of a hybrid vehicle. Accurate real-time state of charge (SOC) acquisition is the basis of the safe operation of vehicles. In actual conditions, the lithium-ion battery is a complex dynamic system, and it is tough to model it accurately, which leads to the estimation deviation of the battery SOC. Recursive
Li M, Zhang Y, Hu Z, Zhang Y, Zhang J.
europepmc +4 more sources
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
Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies [PDF]
, 2016 In this study, a framework is proposed for battery model identification to be applied in electric vehicle energy storage systems. The main advantage of the proposed approach is having capability to handle different battery chemistries.
Auger, Daniel J. +3 more
core +2 more sources
A cascaded H-bridge BLDC drive incorporating battery management [PDF]
, 2007 A multilevel BLDC drive is proposed using cascaded H-bridges with isolated sources to provide superior output waveforms and reduced current ripple whilst incorporating observer based SoC estimation.
Bingham, Chris +3 more
core +1 more source
Observer techniques for estimating the state-of-charge and state-of-health of VRLABs for hybrid electric vehicles [PDF]
, 2005 The paper describes the application of observer-based 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
A Hybrid Method for SOC Estimation of Power Battery [PDF]
Journal of Control Science and Engineering, 2021 The accuracy of battery state of charge (SOC) is crucial for solving the problems such as overcharge, overdischarge, and mileage anxiety of electric vehicle power battery. In this study, an SOC estimation method using a hybrid method (HM) based on threshold switching is proposed, which combines the advantages of the extended Kalman filter (EKF) and the
Jiliang Yi +3 more
openaire +3 more sources
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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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
core +1 more source
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
core +1 more source