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Title:

Impacts of various failure scenarios on the estimation performance of a DKF running on a modular BMS

Document type:
Konferenzbeitrag
Author(s):
Walder, Georg; Christian Campestrini, Markus Lienkamp, Andreas Jossen
Abstract:
The main functionalities of a Battery-Management-System (BMS) in a Battery-Electrical-Vehicle (BEV) depend on a reliable state and parameter estimation of each cell. For example an efficient balancing requires an accurate State-Of-Charge (SOC) calculation of each cell and the power prediction is based on a precise internal resistance estimation. A previous paper [1] showed an accurate way of estimation using a Dual-Kalman-Filter (DKF) [3] [4] [5] and a simple battery model [2]. It also reveals t...     »
Keywords:
FTM Komponenten von Elektrofahrzeugen
Book / Congress title:
EVS27 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium
Date of congress:
17.-20.11.2013
Year:
2013
Covered by:
Scopus
Reviewed:
ja
TUM Institution:
Lehrstuhl für Fahrzeugtechnik
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