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Communication Dans Un Congrès Année : 2013

Characterisation of a commercial automotive lithium ion battery using extended Kalman filter

Résumé

This paper presents a extented Kalman filter based on a dynamic model of a commercial lithium ion battery pack in automotive applications, and experimental data are collected using the Noao. This vehicle is an electric track with range extender, which has been developed and produced by the association Pôle de Performance de Nevers Magny-Cours (PPNMC). This model has been developed with MATLAB/Simulink to investigate the output characteristics of lithium-ion batteries. It incorporates I-V performance of the battery, battery capacity fading, temperature effect on battery performance, and the battery temperature rise. This estimation technique is used in order to estimate some parameters, which cannot be measured directly by physical sensors such as SOC and SOH and to compensate for uncertainties in the model parameters and the measurements. The proposed model is validated by comparing simulation results with experimental data collected through battery testbed of Noao vehicle.
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Dates et versions

hal-02563232 , version 1 (02-03-2022)

Licence

Paternité - Pas d'utilisation commerciale

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Citer

Moemen Daboussy, Daniela Chrenko, El-Hassane Aglzim, Zul Hilmi Che Daud, Luis Le Moyne. Characterisation of a commercial automotive lithium ion battery using extended Kalman filter. 2013 IEEE Transportation Electrification Conference and Expo (ITEC), Jun 2013, Detroit, United States. pp.1-6, ⟨10.1109/ITEC.2013.6574522⟩. ⟨hal-02563232⟩
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