State-of-the-Art and Development Trends of Energy Management Strategies for Intelligent and Connected New Energy Vehicles: A Review
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Intelligent and connected vehicle (ICV) and new energy vehicle (NEV) will be two important directions of the automotive technology in the future, and the coordinated development of these two directions reflects relevantly the higher requirements put forward by nowadays society and people. Through the use of intelligent and connected technology (ICT), NEVs can exchange various traffic information data with the outside world (e.g. other running vehicles, road infrastructure, internet, etc.) in real time, which is so-called Vehicle to Everything (V2X). Based on the further analysis of the mutual traffic information, the vehicles can identify the current driving conditions and predict the future driving conditions effectively, which can realize the real time optimization of the energy management strategies (EMSs) of vehicles’ powertrain system, so as to meet the driving requirements of vehicles under different driving conditions. This will not only greatly improve the fuel economy of NEVs, but also ease the traffic congestion situation effectively. A review on the application results of intelligent and connected technology in NEVs (mainly hybrid vehicles) in recent years are given, the research circumstances of ICT and intelligent and connected new energy vehicles’ energy management strategies are analyzed and summarized in detail. Based on the comprehensive analysis, the development directions of research on the coordinated development of ICT and NEV are given. The final conclusion will provide theoretical basis for the development of intelligent transportation system (ITS) and internet of vehicle (IOV) technology, and also make a contribution to the development of clean transportation and environmental protection.
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Song, Z., Song, K., and Zhang, T., "State-of-the-Art and Development Trends of Energy Management Strategies for Intelligent and Connected New Energy Vehicles: A Review," SAE Technical Paper 2019-01-1216, 2019, https://doi.org/10.4271/2019-01-1216.Also In
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