dc.contributor.author | Roaldsnes, Kristian Eggereide | |
dc.contributor.author | Gjengedal, Ørjan | |
dc.contributor.author | Molinas Cabrera, Maria Marta | |
dc.date.accessioned | 2019-04-12T08:08:37Z | |
dc.date.available | 2019-04-12T08:08:37Z | |
dc.date.created | 2019-01-17T17:15:30Z | |
dc.date.issued | 2018 | |
dc.identifier.isbn | 0-000-00001-9 | |
dc.identifier.uri | http://hdl.handle.net/11250/2594399 | |
dc.description.abstract | Accurately knowing the State of Charge (SoC) of a Lithium Ion Battery is critical for many applications, and various methods for determining it have been proposed. This paper examines the differences between the Central Difference Kalman Filter (CDKF) and the Bootstrap Particle Filter (BPF) for SoC estimation. A numerical analysis of nonlinearities in a 2RC Equivalent Cell Model is presented as a basis for the comparison. The model is found to exhibit strong nonlinearity when the estimated SoC is below 0.12. The implemented CDKF shows a SoC RMSE of 0.88% and the BPF an average SoC RMSE of 0.91% over 50 runs. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Society of Automotive Engineers of Japan | nb_NO |
dc.relation.ispartof | Proceedings of the 31st International Electric Vehicle Symposium and Exhibition & International Electric Vehicle Technology Conference | |
dc.relation.uri | https://www.researchgate.net/publication/327020010_Exploring_the_Attributes_of_Particle_Filter_vs_Nonlinear_Kalman_Filter_for_Battery_State_of_Charge_Estimation | |
dc.title | Exploring the Attributes of Particle Filter vs Nonlinear Kalman Filter for Battery State of Charge Estimation | nb_NO |
dc.type | Chapter | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.identifier.cristin | 1659728 | |
dc.description.localcode | This chapter will not be available due to copyright restrictions (c) 2018 by Society of Automotive Engineers of Japan | nb_NO |
cristin.unitcode | 194,63,25,0 | |
cristin.unitname | Institutt for teknisk kybernetikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |