Documents

An accurate model for State of Health estimation in Li-ion batteries is presented. This algorithm can address the state of health estimation at cell, module and battery pack level. An embeddable easy to implement algorithm has been verified and validated in a 79 different scenarios. The algorithm is based on detecting some features, which are easily measured from voltage measurements. The use of the algorithm is suitable to be implemented in different promising applications. Consequently, the algorhithm is also evaluated on this regard. In adittion, some modifications are suggested so to run the estimator quicker.
Original languageEnglish
Title of host publicationEVS31
PublisherThe World Electric Vehicle Association (WEVA)
Number of pages6
Publication statusPublished - 1 Oct 2018
EventEVS31 - Kobe, Japan
Duration: 30 Sep 20184 Oct 2018

Conference

ConferenceEVS31
CountryJapan
CityKobe
Period30/09/184/10/18

    Research areas

  • Lithium-ion, Battery Management System, Real applications, State of Health, Incremental capacity

ID: 40154229