Paper Info
Title
Ecological Advanced Driver Assistance System for Optimal Energy Management in Electric Vehicles
Abstract
Battery Electric Vehicles have a high potential in modern transportation, however, they are facing limited cruising range. The driving style, the road geometries including slopes, curves, the static and dynamic traffic conditions such as speed limits and preceding vehicles have their share of energy consumption in the host electric vehicle. Optimal energy management based on a semi-autonomous ecological advanced driver assistance system can improve the longitudinal velocity regulation in a safe and energy-efficient driving strategy. The main contribution of this paper is the design of a realtime risk-sensitive nonlinear model predictive controller to plan the online cost-effective cruising velocity in a stochastic traffic environment. The basic idea is to measure the relevant states of the electric vehicle at runtime, and account for the road slopes, the upcoming curves, and the speed limit zones, as well as uncertainty in the preceding vehicle behaviour to determine the energy-efficient velocity profile. Closed-loop Entropic Value-at-Risk as a coherent risk measure is introduced to quantify the risk involved in the system constraints violation. The obtained simulation and field experimental results demonstrate the effectiveness of the proposed method for a semi-autonomous electric vehicle in terms of safe and energy-efficient states regulation and constraints satisfaction.
Year
DOI
Venue
2020
10.1109/MITS.2018.2880261
IEEE Intelligent Transportation Systems Magazine
Keywords
DocType
Volume
closed-loop entropic value-at-risk,online cost-effective cruising velocity,energy-efficient driving strategy,ecological advanced driver assistance system,energy-efficient state regulation,system constraint violation,real-time risk-sensitive nonlinear model predictive controller,semiautonomous electric vehicle,coherent risk measure,energy-efficient velocity profile,preceding vehicle behaviour,speed limit zones,road slopes,stochastic traffic environment,longitudinal velocity regulation,semiautonomous ecological advanced driver assistance system,host electric vehicle,energy consumption,dynamic traffic conditions,static traffic conditions,road geometries,driving style,modern transportation,Battery Electric Vehicles,optimal energy management
Journal
12
Issue
ISSN
Citations 
4
1939-1390
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Seyed Amin Sajadi-Alamdari1102.39
Holger Voos211834.98
Mohamed Darouach326142.82