TY - JOUR
T1 - Novel control algorithm of braking energy regeneration system for an electric vehicle during safety-critical driving maneuvers
AU - Lv, Chen
AU - Zhang, Junzhi
AU - Li, Yutong
AU - Yuan, Ye
N1 - Publisher Copyright:
© 2015 Elsevier Ltd. All rights reserved.
PY - 2015/12
Y1 - 2015/12
N2 - This paper mainly focuses on control algorithm of the braking energy regeneration system of an electric bus under safety-critical driving situations. With the aims of guaranteeing vehicle stability in various types of tyre-road adhesion conditions, based on the characteristics of electrified powertrain, a novel control algorithm of regenerative braking system is proposed for electric vehicles during anti-lock braking procedures. First, the models of vehicle dynamics and main components including braking energy regenerative system of the case-study electric bus are built in MATLAB/Simulink. Then, based on the phase-plane method, the optimal brake torque is calculated for ABS control of vehicle. Next, a novel allocation strategy, wherein the target optimal brake torque is divided into two parts that are handled separately by the regenerative and friction brakes, is developed. Simulations of the proposed control strategy are conducted based on system models built using MATLAB/Simulink. The simulation results demonstrate that the developed strategy enables improved control in terms of vehicle stability and braking performance under different emergency driving conditions. To further verify the synthesized control algorithm, hardware-in-the-loop tests are also performed. The experimental results validate the simulation data and verify the feasibility and effectiveness of the developed control algorithm.
AB - This paper mainly focuses on control algorithm of the braking energy regeneration system of an electric bus under safety-critical driving situations. With the aims of guaranteeing vehicle stability in various types of tyre-road adhesion conditions, based on the characteristics of electrified powertrain, a novel control algorithm of regenerative braking system is proposed for electric vehicles during anti-lock braking procedures. First, the models of vehicle dynamics and main components including braking energy regenerative system of the case-study electric bus are built in MATLAB/Simulink. Then, based on the phase-plane method, the optimal brake torque is calculated for ABS control of vehicle. Next, a novel allocation strategy, wherein the target optimal brake torque is divided into two parts that are handled separately by the regenerative and friction brakes, is developed. Simulations of the proposed control strategy are conducted based on system models built using MATLAB/Simulink. The simulation results demonstrate that the developed strategy enables improved control in terms of vehicle stability and braking performance under different emergency driving conditions. To further verify the synthesized control algorithm, hardware-in-the-loop tests are also performed. The experimental results validate the simulation data and verify the feasibility and effectiveness of the developed control algorithm.
KW - Control algorithm
KW - Electric vehicle
KW - Hardware-in-the-loop validation
KW - Regenerative braking
KW - Safety-critical driving maneuvers
UR - http://www.scopus.com/inward/record.url?scp=84952307332&partnerID=8YFLogxK
U2 - 10.1016/j.enconman.2015.09.062
DO - 10.1016/j.enconman.2015.09.062
M3 - Article
AN - SCOPUS:84952307332
SN - 0196-8904
VL - 106
SP - 520
EP - 529
JO - Energy Conversion and Management
JF - Energy Conversion and Management
ER -