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  4. Parallel particle filter for state of charge and health estimation with a long term test
 
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2013
Conference Paper
Title

Parallel particle filter for state of charge and health estimation with a long term test

Title Supplement
Presentation held at EVS 2013, 27th Electric Vehicle Symposium and Exhibition, Barcelona, Spain, 17-20 November 2013
Abstract
The paper presents a new approach for state estimation of batteries that is able to overcome most of the obstacles for the classical Kalman filter approach. The so called particle filter is able to use any probability density function by applying monte carlo sampling methods for approximating the density functions for state of charge and state of health defined by the remaining capacity. Thereby the restriction of the Kalman filter to zero mean Gaussian distributions for all states and errors is overcome. The paper proves the validity of the approach by testing lithium metal oxide / graphite batteries with different states of health by applying different current and temperature profiles. A special focus of the testing is on electric vehicles and photovoltaic applications. For electric vehicles state of health determination achieves a correctness of 1 % or better and is a bit worse for photovoltaic applications with 3.75 % or better for ageing state between 100%and 80%of initial capacity. During long term testing the algorithm is validated with a decreasing state of health over time due to accelerated ageing. The state of charge estimation is always better than 1 % in long term testing and the state of health is correctly tracked over time.
Author(s)
Schwunk, Simon
Straub, S.
Armbruster, Nils
Matting, S.
Vetter, Matthias  
Mainwork
World Electric Vehicle Symposium and Exhibition, EVS 2013  
Conference
World Electric Vehicle Symposium and Exhibition (EVS) 2013  
File(s)
Download (807.34 KB)
DOI
10.24406/publica-r-382035
10.1109/EVS.2013.6914726
Language
English
Fraunhofer-Institut für Solare Energiesysteme ISE  
Keyword(s)
  • Elektrische Energiesysteme

  • Speichertechnologien

  • Batteriesysteme

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