DocumentCode :
3737531
Title :
Minimizing battery wear in a hybrid energy storage system using a linear quadratic regulator
Author :
Ephrem Chemali;Lucas McCurlie;Brock Howey;Tyler Stiene;Mohammad Mizanoor Rahman;Matthias Preindl;Ryan Ahmed;Ali Emadi
Author_Institution :
McMaster Institute for Automotive Research and Technology (MacAUTO), McMaster University, Hamilton ON, Canada
fYear :
2015
Firstpage :
3265
Lastpage :
3270
Abstract :
A battery-ultracapacitor Hybrid Energy Storage System (HESS) combines the advantages of both Li-ion batteries and ultracapacitors. Li-ion batteries sustain a relatively long electric only driving range but degrade if exposed to high C-rates and large number of cycles. Ultracapacitors are robust, have a quasi infinite cycle life and can sustain highly dynamic power profiles. This paper proposes a HESS Linear Quadratic Regulator (LQR) design to mitigate issues related to battery wear and peak power demands for electric and hybrid electric vehicles. The LQR controller imposes the battery current with a bidirectional power electronic converter that interfaces the battery to the ultracapacitor. The HESS is accurately modeled using experimental battery and ultracapacitor data in conjunction with equivalent circuit models. Simulations are carried out to validate the LQR controller on a UDDS drive cycle. Reduced battery wear is quantified using a spectral analysis of the battery current, which identifies microcycles.
Keywords :
"Batteries","Integrated circuit modeling","Supercapacitors","Vehicles","Resistance","Computational modeling","Vehicle dynamics"
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
Type :
conf
DOI :
10.1109/IECON.2015.7392603
Filename :
7392603
Link To Document :
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