Simulation of advanced regenerative braking strategies in a series plug-in hybrid electric vehicle

Paper #:
  • 2017-01-2466

Published:
  • 2017-10-08
Author(s):
Abstract:
This paper intends to explore improved vehicle efficiency through a control system optimizes the use of regenerative braking in a plug-in, series, hybrid electric vehicle. Currently, vehicles are equipped with a plethora of sensing technology to supply information to the vehicle’s advanced driver assistance system (ADAS). These systems can be leveraged to also help improve vehicle efficiency by providing real time information that can help improve control strategies to maximize the usage of regenerative braking to reduce wasted energy in conventional friction braking. Advanced sensing can allow the vehicle to react before the human driver responds, allowing for the vehicle to begin deceleration through regenerative braking preemptively. This papers aims to simulate the basic functionality of such a control system to explore the potential efficiency gains available. The proposed system is simulated using a longitudinal full-vehicle model developed in MATLAB and Simulink.
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