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Review of architecture and control strategies of Hybrid Electric and Fuel Cell Technology for Automotive Application
ISSN: 0148-7191, e-ISSN: 2688-3627
To be published on November 21, 2019 by SAE International in United States
Event: NuGen Summit
Well-functioning and efficient transport sector is a requirement for economic and social development in the 21st century. Another side of this transport sector is responsible for a many negative social and environmental effects, like a significant contribution to global greenhouse gas emissions, air pollution and reduction in fossil fuels resources. It is need of time to shift to a greener and low carbon economy and for that it is necessary to improve the ways in which energy is produced and used. Other energy sources like battery, fuel cells (FC), supercapacitors (SC) and photovoltaic cells (PV) are the alternative solutions to the conventional internal combustion engines (ICE) for automobiles. Development of Hybrid electric vehicles (HEV) along with other cleaner vehicle technologies like Fuel cell electric vehicles (FCV), battery electric vehicles are continuously increasing in the list of green energy options. This paper presents a comprehensive review on various control strategies and Energy Management Systems (EMS) proposed and developed for HEVs. This paper revisits architecture of HEVs and different types of HEVs. An optimum control strategy for electrification and optimized HEV / FCV architecture need to be developed by studying vehicle performance on different driving cycles. Main focus is to achieve target fuel economy, CO2 reduction & enhancing drivability along with improving overall acceleration & Gradeability. Additionally, the FCV is discussed in a new perspective from the EMS point of view along with their architectures, balance of plants (BoP) and recent developments. This review will be helpful for identifying gaps in present researches and to develop indigenous research in development of control strategies for HEV and FCV operations and comparing the performance between two technologies.