Eco Look-Ahead Control of Battery Electric Vehicles and Roadway Grade Effects

Ahn, Kyoungho; Rakha, Hesham A.; Park, Sangjun

doi:10.1177/0361198120935445

Eco Look-Ahead Control of Battery Electric Vehicles and Roadway Grade Effects

Journal Article · Fri Jul 31 04:00:00 EDT 2020 · Transportation Research Record: Journal of the Transportation Research Board

DOI:https://doi.org/10.1177/0361198120935445· OSTI ID:1644231

Ahn, Kyoungho ^[1]; Rakha, Hesham A. ^[2]; Park, Sangjun ^[3]

Center for Sustainable Mobility, Virginia Tech Transportation Institute, Blacksburg, VA
Charles E. Via, Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA
Department of Civil Engineering, Chosun University, Gwangju, South Korea

Roadway grade is one of the major variables that affects a vehicle’s energy consumption. This study demonstrates the potential benefits of an eco look-ahead control for battery electric vehicles (BEVs). The proposed eco look-ahead controller was developed for the lead vehicle of a platoon of BEVs. The eco look-ahead control predicts the optimum speed and acceleration levels within a preset speed window to minimize energy consumption considering the instantaneous energy used and the regenerated energy. The developed BEV eco look-ahead control system integrates a BEV energy consumption model and a powertrain model to save fuel while maintaining vehicle speed within a user-specified window. In addition, the study demonstrates the effects of roadway grade on BEV energy consumption. The results show that the energy consumption of BEVs are significantly reduced on downhill roads compared with internal combustion engine vehicles owing to regenerative braking. Specifically, testing showed that BEVs could even produce extra energy on downhill roads. The study also tested the eco look-ahead control on an 18-km section of I-81 and found that the system produced savings of 8.51% and 26.88% in the uphill and downhill directions, respectively. This study demonstrated that regenerative energy in BEVs is a critical factor in energy efficiency and the developed eco look-ahead control significantly improved the energy efficiency for BEVs.

Sponsoring Organization:: USDOE

OSTI ID:: 1644231

Alternate ID(s):: OSTI ID: 1848712

Journal Information:: Transportation Research Record: Journal of the Transportation Research Board, Journal Name: Transportation Research Record: Journal of the Transportation Research Board Journal Issue: 10 Vol. 2674; ISSN 0361-1981

Publisher:: SAGE PublicationsCopyright Statement

Country of Publication:: United States

Language:: English

References (11)

Electric vehicle’s energy consumption of car-following models Yang, Shichun; Deng, Cheng; Tang, Tieqiao Nonlinear Dynamics, Vol. 71, Issue 1-2 https://doi.org/10.1007/s11071-012-0663-0	journal	November 2012
Preliminary experimental evaluation of a four wheel motors, batteries plus ultracapacitors and series hybrid powertrain Rambaldi, Lorenzo; Bocci, Enrico; Orecchini, Fabio Applied Energy, Vol. 88, Issue 2 https://doi.org/10.1016/j.apenergy.2010.08.008	journal	February 2011
GIS-driven analysis of e-mobility in urban areas: An evaluation of the impact on the electric energy grid De Gennaro, Michele; Paffumi, Elena; Scholz, Harald Applied Energy, Vol. 124 https://doi.org/10.1016/j.apenergy.2014.03.003	journal	July 2014
Power-based electric vehicle energy consumption model: Model development and validation Fiori, Chiara; Ahn, Kyoungho; Rakha, Hesham A. Applied Energy, Vol. 168 https://doi.org/10.1016/j.apenergy.2016.01.097	journal	April 2016
Virginia Tech Comprehensive Power-Based Fuel Consumption Model: Model development and testing Rakha, Hesham A.; Ahn, Kyoungho; Moran, Kevin Transportation Research Part D: Transport and Environment, Vol. 16, Issue 7 https://doi.org/10.1016/j.trd.2011.05.008	journal	October 2011
Predictive eco-cruise control: Algorithm and potential benefits Park, Sangjun; Rakha, Hesham; Ahn, Kyoungho 2011 IEEE Forum on Integrated and Sustainable Transportation Systems (FISTS) https://doi.org/10.1109/FISTS.2011.5973639	conference	June 2011
Optimal Predictive Eco-Driving Cycles for Conventional, Electric, and Hybrid Electric Cars Maamria, Djamaleddine; Gillet, Kristan; Colin, Guillaume IEEE Transactions on Vehicular Technology, Vol. 68, Issue 7 https://doi.org/10.1109/TVT.2019.2914256	journal	July 2019
Energy and Environmental Impacts of Roadway Grades Park, Sangjun; Rakha, Hesham Transportation Research Record: Journal of the Transportation Research Board, Vol. 1987, Issue 1 https://doi.org/10.1177/0361198106198700116	journal	January 2006
Predictive Ecocruise Control System: Model Logic and Preliminary Testing Park, Sangjun; Rakha, Hesham A.; Ahn, Kyoungho Transportation Research Record: Journal of the Transportation Research Board, Vol. 2270, Issue 1 https://doi.org/10.3141/2270-14	journal	January 2012
Ecodrive Application: Algorithmic Development and Preliminary Testing Ahn, Kyoungho; Rakha, Hesham A.; Park, Sangjun Transportation Research Record: Journal of the Transportation Research Board, Vol. 2341, Issue 1 https://doi.org/10.3141/2341-01	journal	January 2013
Analysis of Hybrid Rechargeable Energy Storage Systems in Series Plug-In Hybrid Electric Vehicles Based on Simulations Fleurbaey, Karel; Omar, Noshin; Baghdadi, Mohamed El Energy and Power Engineering, Vol. 06, Issue 08 https://doi.org/10.4236/epe.2014.68018	journal	January 2014

Similar Records

Eco Look-Ahead Control of Battery Electric Vehicles and Roadway Grade Effects

Journal Article · Fri Jul 31 00:00:00 EDT 2020 · Transportation Research Record: Journal of the Transportation Research Board · OSTI ID:1848712

Eco-Predictive Control of Electric Vehicles.

Conference · Mon Jan 13 23:00:00 EST 2020 · OSTI ID:1593328

Battery Electric Vehicle Eco-Cooperative Adaptive Cruise Control in the Vicinity of Signalized Intersections

Journal Article · Tue May 12 00:00:00 EDT 2020 · Energies · OSTI ID:2377781

Eco Look-Ahead Control of Battery Electric Vehicles and Roadway Grade Effects

Citation Formats

References (11)

Similar Records

Related Subjects