6533b825fe1ef96bd1283140
RESEARCH PRODUCT
Characterisation of a commercial automotive lithium ion battery using extended Kalman filter
El-hassane AglzimLuis Le MoyneDaniela ChrenkoZul Hilmi Che DaudMoemen Daboussysubject
Battery (electricity)Engineeringbusiness.industryTestbedAutomotive industryKalman filterAutomotive engineeringLithium-ion batteryExtended Kalman filterElectronic engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSHybrid vehicleMATLABbusinesscomputercomputer.programming_languagedescription
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 Pole 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-06-01 | 2013 IEEE Transportation Electrification Conference and Expo (ITEC) |