An adaptive power-split strategy for battery-supercapacitor powertrain-design, simulation, and experiment

Publication Type:
Journal Article
Citation:
IEEE Transactions on Power Electronics, 2017, 32 (12), pp. 9364 - 9375
Issue Date:
2017-12-01
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© 1986-2012 IEEE. Electric vehicles (EVs) adopting both batteries and supercapacitors have attracted a significant amount of attention in research communities due to their unique power-sharing capabilities. A hybrid energy storage system (HESS) can effectively reduce power stress that would, otherwise, be applied to batteries alone, and whose weight and size is still a common concern when competing against conventional internal-combustion-engine-powered cars. In this paper, a high-level algorithm is developed to adaptively split the load between two sources for an EV adopting HESS under real-life load fluctuations. A converter - supercapacitor pack (SP) coupled HESS upon which such an algorithm is deployed on, is proposed to divert excess power into the SP via a smart power converter, which is located in between in order to regulate both behaviors. A power-split strategy is designed to track real-time load profiles and determine one important variable: The cutoff frequency. As a consequence, relatively higher frequency portion of th e load power gets channeled to the SP, and the remaining less-varying power demand is sent to the BP based on the fundamental energy-balancing equation. A simplified HESS model is developed in MATLAB, and the real-time power-split algorithm is coded using Labview and verified on a test rig. Both simulation and experimental results prove its effectiveness in coping with even the harshest driving scenarios in real life.
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