An Overview of Eco-Driving Theory, Capability Evaluation, and Training Applications

Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-saving potential, the difficulty in changing urban congestion, and the low market penetration rate of new energy vehicles, in the short term, eco-driving seems to be an effective way to achieve energy-savi...

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Published in:Sensors (Basel, Switzerland) Vol. 21; no. 19; p. 6547
Main Authors: Xu, Nan, Li, Xiaohan, Liu, Qiao, Zhao, Di
Format: Journal Article
Language:English
Published: Basel MDPI AG 30.09.2021
MDPI
Subjects:
Behavior
Carbon
Climate change
Control algorithms
eco-driving
eco-driving training
Electric vehicles
Emissions
Energy consumption
Energy efficiency
Energy industry
evaluation
feedback devices
Hybrid vehicles
Rain
Review
Roads & highways
Sustainable development
Traffic congestion
Transportation industry
Transportation planning
Working conditions
United States > US
China
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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Abstract Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-saving potential, the difficulty in changing urban congestion, and the low market penetration rate of new energy vehicles, in the short term, eco-driving seems to be an effective way to achieve energy-saving and emissions reduction in the transportation industry. This paper reviews the energy-saving theory and technology of eco-driving, eco-driving capability evaluation, and the practical application of eco-driving, and points out some limitations of previous studies. Specifically, the research on eco-driving theory mostly focuses on a single vehicle in a single scene, and there is a lack of eco-driving research for fleets or regions. In addition, the parameters used to evaluate eco-driving capabilities mainly focus on speed, acceleration, and fuel consumption, but external factors that are not related to the driver will affect these parameters, making the evaluation results unreasonable. Fortunately, vehicle big data and the Internet of Vehicles (V2I) provides an information basis for solving regional eco-driving, and it also provides a data basis for the study of data-driven methods for the fair evaluation of eco-driving. In general, the development of new technologies provides new ideas for solving some problems in the field of eco-driving.
AbstractList Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-saving potential, the difficulty in changing urban congestion, and the low market penetration rate of new energy vehicles, in the short term, eco-driving seems to be an effective way to achieve energy-saving and emissions reduction in the transportation industry. This paper reviews the energy-saving theory and technology of eco-driving, eco-driving capability evaluation, and the practical application of eco-driving, and points out some limitations of previous studies. Specifically, the research on eco-driving theory mostly focuses on a single vehicle in a single scene, and there is a lack of eco-driving research for fleets or regions. In addition, the parameters used to evaluate eco-driving capabilities mainly focus on speed, acceleration, and fuel consumption, but external factors that are not related to the driver will affect these parameters, making the evaluation results unreasonable. Fortunately, vehicle big data and the Internet of Vehicles (V2I) provides an information basis for solving regional eco-driving, and it also provides a data basis for the study of data-driven methods for the fair evaluation of eco-driving. In general, the development of new technologies provides new ideas for solving some problems in the field of eco-driving.
Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-saving potential, the difficulty in changing urban congestion, and the low market penetration rate of new energy vehicles, in the short term, eco-driving seems to be an effective way to achieve energy-saving and emissions reduction in the transportation industry. This paper reviews the energy-saving theory and technology of eco-driving, eco-driving capability evaluation, and the practical application of eco-driving, and points out some limitations of previous studies. Specifically, the research on eco-driving theory mostly focuses on a single vehicle in a single scene, and there is a lack of eco-driving research for fleets or regions. In addition, the parameters used to evaluate eco-driving capabilities mainly focus on speed, acceleration, and fuel consumption, but external factors that are not related to the driver will affect these parameters, making the evaluation results unreasonable. Fortunately, vehicle big data and the Internet of Vehicles (V2I) provides an information basis for solving regional eco-driving, and it also provides a data basis for the study of data-driven methods for the fair evaluation of eco-driving. In general, the development of new technologies provides new ideas for solving some problems in the field of eco-driving.Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-saving potential, the difficulty in changing urban congestion, and the low market penetration rate of new energy vehicles, in the short term, eco-driving seems to be an effective way to achieve energy-saving and emissions reduction in the transportation industry. This paper reviews the energy-saving theory and technology of eco-driving, eco-driving capability evaluation, and the practical application of eco-driving, and points out some limitations of previous studies. Specifically, the research on eco-driving theory mostly focuses on a single vehicle in a single scene, and there is a lack of eco-driving research for fleets or regions. In addition, the parameters used to evaluate eco-driving capabilities mainly focus on speed, acceleration, and fuel consumption, but external factors that are not related to the driver will affect these parameters, making the evaluation results unreasonable. Fortunately, vehicle big data and the Internet of Vehicles (V2I) provides an information basis for solving regional eco-driving, and it also provides a data basis for the study of data-driven methods for the fair evaluation of eco-driving. In general, the development of new technologies provides new ideas for solving some problems in the field of eco-driving.
Author Li, Xiaohan
Xu, Nan
Zhao, Di
Liu, Qiao
AuthorAffiliation State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China; nanxu@jlu.edu.cn (N.X.); xiaohan19@mails.jlu.edu.cn (X.L.); liuqiao20@mails.jlu.edu.cn (Q.L.)
AuthorAffiliation_xml – name: State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130025, China; nanxu@jlu.edu.cn (N.X.); xiaohan19@mails.jlu.edu.cn (X.L.); liuqiao20@mails.jlu.edu.cn (Q.L.)
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  fullname: Xu, Nan
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  givenname: Qiao
  surname: Liu
  fullname: Liu, Qiao
– sequence: 4
  givenname: Di
  surname: Zhao
  fullname: Zhao, Di
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Snippet Constrained by traditional fuel-saving technologies that have almost reached the limit of fuel-saving potential, the difficulty in changing urban congestion,...
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SubjectTerms Behavior
Carbon
Climate change
Control algorithms
eco-driving
eco-driving training
Electric vehicles
Emissions
Energy consumption
Energy efficiency
Energy industry
evaluation
feedback devices
Hybrid vehicles
Rain
Review
Roads & highways
Sustainable development
Traffic congestion
Transportation industry
Transportation planning
Working conditions
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Title An Overview of Eco-Driving Theory, Capability Evaluation, and Training Applications
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