TY - GEN
T1 - Ripple correlation control applied to electric vehicle regenerative braking
AU - Choi, Sanghun
AU - Bazzi, Ali M.
AU - Krein, Philip T.
PY - 2010
Y1 - 2010
N2 - This paper introduces output power maximization of a regenerative braking system using ripple correlation control (RCC). The proposed RCC application thus leads to a reduction in the size of the battery pack in an electric vehicle. Results show that the proposed optimization can increase regenerated power by up to 20% compared to conventional regenerative braking systems. Time and frequency domain simulations in MATLAB/Simulink verify the feasibility of such an application and show promising results in energy savings.
AB - This paper introduces output power maximization of a regenerative braking system using ripple correlation control (RCC). The proposed RCC application thus leads to a reduction in the size of the battery pack in an electric vehicle. Results show that the proposed optimization can increase regenerated power by up to 20% compared to conventional regenerative braking systems. Time and frequency domain simulations in MATLAB/Simulink verify the feasibility of such an application and show promising results in energy savings.
KW - Energy savings in electric vehicles
KW - Induction generator optimization
KW - Regenerative braking system
KW - Ripple correlation control
UR - http://www.scopus.com/inward/record.url?scp=77952226316&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952226316&partnerID=8YFLogxK
U2 - 10.1109/PECI.2010.5437150
DO - 10.1109/PECI.2010.5437150
M3 - Conference contribution
AN - SCOPUS:77952226316
SN - 9781424459018
T3 - Proceedings of the 2010 Power and Energy Conference at Illinois, PECI 2010
SP - 88
EP - 92
BT - Proceedings of the 2010 Power and Energy Conference at Illinois, PECI 2010
T2 - 2010 Power and Energy Conference at Illinois, PECI 2010
Y2 - 12 February 2010 through 13 February 2010
ER -