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Rechargeable batteries / Energy conversion / State of charge / Battery / Kalman filter / Lithium-ion battery / Estimation theory / Recursive least squares filter / Electric vehicle battery / Statistics / Energy / Technology


MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Fast UD Factorization-Based RLS Online Parameter Identification for Model-Based Condition Monitoring of Lithium-ion
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Document Date: 2015-01-14 14:46:31


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City

Cambridge / /

Company

Mitsubishi Electric Research Laboratories Inc. / IEEE Industrial Electronics / VF / Intel / /

Country

United States / /

Currency

pence / /

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Facility

University of Nebraska-Lincoln / Thapar University / /

IndustryTerm

online parameter estimation algorithm / parameter identification algorithm / online state / charge/discharge energy losses / online parameters / online battery state-of-power / Online Parameter Identification / proposed parameter identification algorithm / multicell lithium-ion battery systems / real-time battery model / real-time condition monitoring / estimation algorithms / battery management systems / real-time electrical parameters / embedded system applications / electric vehicle applications / factorization algorithm / online parameter identification algorithms / Online SOC / real-time embedded battery management systems / parameter identification algorithms / electronics / high energy / cell using online parameters identification / adaptive polynomial filtering algorithms / online estimation / real-time embedded systems / parameter estimation algorithms / /

Organization

Thapar University / Department of Computer Science and Engineering / Congress / University of Nebraska-Lincoln / Lincoln / Department of Electrical Engineering / /

Person

Yebin Wang / Toshihiro Wada / Wei Qiao / ION BATTERY / Satoshi Hara / /

ProgrammingLanguage

MATLAB / RC / K / /

ProvinceOrState

Massachusetts / /

Technology

parameter estimation algorithms / parameter identification algorithm / UD factorization algorithm / FUDRLS algorithms / online parameter identification algorithms / SOC estimation algorithms / FUDRLS algorithm / B. Experimental Study The parameter identification algorithms / improved RLS-based parameter identification algorithm / proposed FUDRLS parameter identification algorithm / parameter identification algorithms / SIMULATION TIME AND RMSE RESULTS FOR PARAMETER IDENTIFICATION ALGORITHM / proposed parameter identification algorithm / COMPUTATIONAL TIME AND RMSE RESULTS FOR PARAMETER IDENTIFICATION ALGORITHM / adaptive polynomial filtering algorithms / proposed algorithm / online parameter estimation algorithm / Simulation / Electrochemistry / /

URL

http /

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