Results 11 to 20 of about 736,057 (283)

State-of-charge Estimation of Lithium-ion Battery Based Online Parameter Identification [PDF]

open access: yesE3S Web of Conferences, 2020
Accurately estimating the state of charge (SOC) of lithium-ion is very important to improving the dynamic performance and energy utilization efficiency.
Feng Juqiang   +4 more
doaj   +1 more source

A Fusion-Based Method of State-of-Charge Online Estimation for Lithium-Ion Batteries Under Low Capacity Conditions

open access: yesFrontiers in Energy Research, 2021
The accurate estimation of the battery state of charge (SOC) is crucial for providing information on the performance and remaining range of electric vehicles. Based on the analysis of battery charge and discharge data under actual vehicle driving cycles,
Nan Zhou   +7 more
doaj   +1 more source

Real-time state of charge estimation of electrochemical model for lithium-ion battery [PDF]

open access: yes, 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

Stable and Accurate Estimation of SOC Using eXogenous Kalman Filter for Lithium-Ion Batteries

open access: yesSensors, 2023
The state of charge (SOC) for a lithium-ion battery is a key index closely related to battery performance and safety with respect to the power supply system of electric vehicles.
Qizhe Lin   +5 more
doaj   +1 more source

Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies [PDF]

open access: yes, 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

Low Temperature, Current Dependent Battery State Estimation Using Interacting Multiple Model Strategy

open access: yesIEEE Access, 2021
Lithium-ion battery State of Charge (SoC) estimation for Electric Vehicle (EV) applications must be robust and as accurate as possible to maximize battery utilization and ensure safe operation over a wide range of operating conditions.
Marvin Messing   +3 more
doaj   +1 more source

A cascaded H-bridge BLDC drive incorporating battery management [PDF]

open access: yes, 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

Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction

open access: yesConnection Science, 2022
It is challenging for a battery management system to estimate the State-Of-Charge (SOC) of batteries. A novel model-based method, using a Dual Extended Kalman Filtering algorithm (DEKF) and Back Propagation Neural Network (BPNN), is proposed to estimate ...
Likun Xing, Liuyi Ling, Xianyuan Wu
doaj   +1 more source

Observer techniques for estimating the state-of-charge and state-of-health of VRLABs for hybrid electric vehicles [PDF]

open access: yes, 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]

open access: yesJournal 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

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