The short term dynamic response of the battery varies with varying operating conditions. Hence, even before proceeding towards the modelling step, it is important to fully characterise and understand the dynamic behaviour of the battery at varying operating conditions. In this paper, a data-driven methodology for characterising the battery’s short term electrical response at varying operating conditions e.g. at different levels of SoC and different temperature levels is discussed. Furthermore, a novel way to estimate the best linear approximation from the data acquired at these operating conditions with varying levels of noise and nonlinear distortions is proposed.
Original languageEnglish
Title of host publication IFAC International World Congress
EditorsJuan Antonio De La Puente
PublisherIFAC - PapersOnLine
Pages4890-4895
ISBN (Print)2405-8963
StatePublished - 9 Jul 2017
Event 20th IFAC International World Congress - Toulouse, France

Conference

Conference 20th IFAC International World Congress
CountryFrance
CityToulouse
Period9/07/1714/07/17
Internet address

    Research areas

  • Automotive system identification and modelling, Modeling, supervision, control and diagnosis of automotive systems, Hybrid and alternative drive vehicles

ID: 32767914