Title :
Ripple correlation control applied to electric vehicle regenerative braking
Author :
Choi, Sanghun ; Bazzi, Ali M. ; Krein, Philip T.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
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.
Keywords :
electric vehicles; regenerative braking; MATLAB-Simulink; electric vehicle regenerative braking; frequency domain simulations; ripple correlation control; time domain simulations; Batteries; Control systems; Couplings; Electric vehicles; Frequency; Power generation; Rotors; Shafts; Stators; Torque; Ripple correlation control; energy savings in electric vehicles; induction generator optimization; regenerative braking system;
Conference_Titel :
Power and Energy Conference at Illinois (PECI), 2010
Conference_Location :
Urbana-Champaign, IL
Print_ISBN :
978-1-4244-5902-5
DOI :
10.1109/PECI.2010.5437150
