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Research progress and prospect of energy-saving optimal control for intelligent and connected electric vehicles

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DOI: 10.23977/autml.2023.040208 | Downloads: 26 | Views: 427

Author(s)

Wang Shuang 1

Affiliation(s)

1 China Academy of Transportation Science, Beijing, 100013, China

Corresponding Author

Wang Shuang

ABSTRACT

Modern communication and network technology are integrated to realize the exchange and sharing of intelligent information between vehicles, roads, people and clouds. It has the functions of complex environment perception, intelligent decision-making, collaborative control, etc., and can realize safe, efficient, comfortable and energy-saving driving, and finally realize a new generation of ICEV (Intelligent and Connected Electric Vehicles)operated instead of people. For ICEV, it is important to optimize the speed trajectory by using the information of the road ahead to realize the predictive energy-saving control, which will improve the economy of the vehicle. In order to fully understand the research progress of the optimal control of ICEV, the key issues of the optimal control of vehicle energy consumption and emissions based on the information of intelligent network are summarized. Finally, the future challenges in intelligent vehicle optimization are prospected, which provides a reference for further extensive research.

KEYWORDS

Intelligent and connected; Electric vehicles; Energy-saving

CITE THIS PAPER

Wang Shuang, Research progress and prospect of energy-saving optimal control for intelligent and connected electric vehicles. Automation and Machine Learning (2023) Vol. 4: 55-60. DOI: http://dx.doi.org/10.23977/autml.2023.040208.

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