Title :
Comparison of Three Electrochemical Energy Buffers Applied to a Hybrid Bus Powertrain With Simultaneous Optimal Sizing and Energy Management
Author :
Xiaosong Hu ; Murgovski, Nikolce ; Johannesson, Lars Mardh ; Egardt, Bo
Author_Institution :
Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden
Abstract :
This paper comparatively examines three different electrochemical energy storage systems (ESSs), i.e., a Li-ion battery pack, a supercapacitor pack, and a dual buffer, for a hybrid bus powertrain operated in Gothenburg, Sweden. Existing studies focus on comparing these ESSs, in terms of either general attributes (e.g., energy density and power density) or their implications to the fuel economy of hybrid vehicles with a heuristic/nonoptimal ESS size and power management strategy. This paper adds four original contributions to the related literature. First, the three ESSs are compared in a framework of simultaneous optimal ESS sizing and energy management, where the ESSs can serve the powertrain in the most cost-effective manner. Second, convex optimization is used to implement the framework, which allows the hybrid powertrain designers/integrators to rapidly and optimally perform integrated ESS selection, sizing, and power management. Third, both hybrid electric vehicle (HEV) and plug-in HEV (PHEV) scenarios for the powertrain are considered, in order to systematically examine how different the ESS requirements are for HEV and PHEV applications. Finally, a sensitivity analysis is carried out to evaluate how price variations of the onboard energy carriers affect the results and conclusions.
Keywords :
energy management systems; energy storage; fuel economy; hybrid electric vehicles; optimisation; power transmission (mechanical); secondary cells; ESS; Gothenburg; Li; Li-ion battery pack; PHEV; Sweden; convex optimization; dual buffer; electrochemical energy buffers; electrochemical energy storage systems; energy management; fuel economy; hybrid bus powertrain; optimal sizing; plug-in hybrid electric vehicle; power management; supercapacitor pack; Batteries; Energy management; Fuels; Hybrid electric vehicles; Mechanical power transmission; Supercapacitors; Convex optimization; electrified vehicle; energy management strategy; energy storage; optimal sizing;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2013.2294675