Hybrid electric buses fuel consumption prediction based on real-world driving data

Sun, Ruixiao; Chen, Yuche; Dubey, Abhishek; Pugliese, Philip

doi:10.1016/j.trd.2020.102637

Hybrid electric buses fuel consumption prediction based on real-world driving data

Journal Article · Tue Dec 07 00:00:00 EST 2021 · Transportation Research. Part D, Transport and Environment

DOI:https://doi.org/10.1016/j.trd.2020.102637· OSTI ID:1824216

Sun, Ruixiao ^[1]; Chen, Yuche ^[2]; Dubey, Abhishek ^[3]; Pugliese, Philip ^[4]

Univ. of South Carolina, Columbia, SC (United States); Vanderbilt University
Univ. of South Carolina, Columbia, SC (United States)
Vanderbilt Univ., Nashville, TN (United States)
Chattanooga Area Regional Transportation Authority, Chattanooga, TN (United States)

Estimating fuel consumption by hybrid diesel buses is challenging due to its diversified operations and driving cycles. Here, long-term transit bus monitoring data were utilized to empirically compare fuel consumption of diesel and hybrid buses under various driving conditions. Artificial neural network (ANN) based high-fidelity microscopic (1 Hz) and mesoscopic (5–60 min) fuel consumption models were developed for hybrid buses. The microscopic model contained 1 Hz driving, grade, and environment variables. The mesoscopic model aggregated 1 Hz data into 5 to 60-minute traffic pattern factors and predicted average fuel consumption over its duration. The prediction results show mean absolute percentage errors of 1–2% for microscopic models and 5–8% for mesoscopic models. The data were partitioned by different driving speeds, vehicle engine demand, and road grade to investigate their impacts on prediction performance.

View Accepted Manuscript (DOE)

Research Organization:: Chattanooga Area Regional Transportation Authority, Chattanooga, TN (United States)

Sponsoring Organization:: USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office

Grant/Contract Number:: EE0008467

OSTI ID:: 1824216

Alternate ID(s):: OSTI ID: 1780235

Journal Information:: Transportation Research. Part D, Transport and Environment, Journal Name: Transportation Research. Part D, Transport and Environment Vol. 91; ISSN 1361-9209

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (25)

Neural network based modelling of environmental variables: A systematic approach Maier, H. R.; Dandy, G. C. Mathematical and Computer Modelling, Vol. 33, Issue 6-7 https://doi.org/10.1016/S0895-7177(00)00271-5	journal	March 2001
Real-world fuel consumption and CO2 emissions of urban public buses in Beijing Zhang, Shaojun; Wu, Ye; Liu, Huan Applied Energy, Vol. 113 https://doi.org/10.1016/j.apenergy.2013.09.017	journal	January 2014
Fuel consumption model for conventional diesel buses Wang, Jinghui; Rakha, Hesham A. Applied Energy, Vol. 170 https://doi.org/10.1016/j.apenergy.2016.02.124	journal	May 2016
Real-world emissions and fuel consumption of diesel buses and trucks in Macao: From on-road measurement to policy implications Wu, Xiaomeng; Zhang, Shaojun; Wu, Ye Atmospheric Environment, Vol. 120 https://doi.org/10.1016/j.atmosenv.2015.09.015	journal	November 2015
The Analysis of Space-time Characteristics of Bus Operation and Energy Consumption Based on ArcGIS Xiru, Tang; Yueyan, Zhu; Liping, Xu Energy Procedia, Vol. 104 https://doi.org/10.1016/j.egypro.2016.12.077	journal	December 2016
Emissions and fuel economy for a hybrid vehicle Taymaz, Imdat; Benli, Merthan Fuel, Vol. 115 https://doi.org/10.1016/j.fuel.2013.04.045	journal	January 2014
A comprehensive review on estimation strategies used in hybrid and battery electric vehicles Cuma, Mehmet Ugras; Koroglu, Tahsin Renewable and Sustainable Energy Reviews, Vol. 42 https://doi.org/10.1016/j.rser.2014.10.047	journal	February 2015
Estimation of bus emission models for different fuel types of buses under real conditions Wang, Chao; Ye, Zhirui; Yu, Yongbo Science of The Total Environment, Vol. 640-641 https://doi.org/10.1016/j.scitotenv.2018.05.289	journal	November 2018
Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore Shen, Yu; Zhang, Hongmou; Zhao, Jinhua Transportation Research Part A: Policy and Practice, Vol. 113 https://doi.org/10.1016/j.tra.2018.04.004	journal	July 2018
Energy consumption and cost-benefit analysis of hybrid and electric city buses Lajunen, Antti Transportation Research Part C: Emerging Technologies, Vol. 38 https://doi.org/10.1016/j.trc.2013.10.008	journal	January 2014
Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach Chen, Yuche; Zhu, Lei; Gonder, Jeffrey Transportation Research Part C: Emerging Technologies, Vol. 83 https://doi.org/10.1016/j.trc.2017.08.003	journal	October 2017
Comparing real-world fuel consumption for diesel- and hydrogen-fueled transit buses and implication for emissions Frey, H. Christopher; Rouphail, Nagui M.; Zhai, Haibo Transportation Research Part D: Transport and Environment, Vol. 12, Issue 4 https://doi.org/10.1016/j.trd.2007.03.003	journal	June 2007
Trajectory-based vehicle energy/emissions estimation for signalized arterials using mobile sensing data Sun, Zhanbo; Hao, Peng; Ban, Xuegang (Jeff) Transportation Research Part D: Transport and Environment, Vol. 34 https://doi.org/10.1016/j.trd.2014.10.005	journal	January 2015
Electric vehicles’ energy consumption estimation with real driving condition data Zhang, Rui; Yao, Enjian Transportation Research Part D: Transport and Environment, Vol. 41 https://doi.org/10.1016/j.trd.2015.10.010	journal	December 2015
Modelling the fuel consumption and pollutant emissions of the urban bus fleet of the city of Madrid López-Martínez, José M.; Jiménez, Felipe; Páez-Ayuso, F. Javier Transportation Research Part D: Transport and Environment, Vol. 52 https://doi.org/10.1016/j.trd.2017.02.016	journal	May 2017
Hybrid-Electric Passenger Car Carbon Dioxide and Fuel Consumption Benefits Based on Real-World Driving Holmén, Britt A.; Sentoff, Karen M. Environmental Science & Technology, Vol. 49, Issue 16 https://doi.org/10.1021/acs.est.5b01203	journal	July 2015
A Comparison of Emissions and Fuel Economy from Hybrid-Electric and Conventional-Drive Transit Buses Wayne, W. Scott; Clark, Nigel N.; Nine, Ralph D. Energy & Fuels, Vol. 18, Issue 1 https://doi.org/10.1021/ef030096t	journal	January 2004
Method for In-Use Measurement and Evaluation of the Activity, Fuel Use, Electricity Use, and Emissions of a Plug-In Hybrid Diesel-Electric School Bus Choi, Hyung-Wook; Frey, H. Christopher Environmental Science & Technology, Vol. 44, Issue 9 https://doi.org/10.1021/es903330k	journal	May 2010
Optimization of groundwater remediation using artificial neural networks with parallel solute transport modeling Rogers, Leah L.; Dowla, Farid U. Water Resources Research, Vol. 30, Issue 2 https://doi.org/10.1029/93WR01494	journal	February 1994
A Modal Approach to Vehicular Emissions and Fuel Consumption Model Development Hung, Wing-Tat; Tong, Hing-Yan; Cheung, Chun-Shun Journal of the Air & Waste Management Association, Vol. 55, Issue 10 https://doi.org/10.1080/10473289.2005.10464747	journal	October 2005
Trends in onroad transportation energy and emissions Frey, H. Christopher Journal of the Air & Waste Management Association, Vol. 68, Issue 6 https://doi.org/10.1080/10962247.2018.1454357	journal	March 2018
Development and Evaluation of an Intelligent Energy-Management Strategy for Plug-in Hybrid Electric Vehicles Wu, Guoyuan; Boriboonsomsin, Kanok; Barth, Matthew J. IEEE Transactions on Intelligent Transportation Systems, Vol. 15, Issue 3 https://doi.org/10.1109/TITS.2013.2294342	journal	June 2014
Impact of Time-Varying Passenger Loading on Conventional and Electrified Transit Bus Energy Consumption Liu, Luying; Kotz, Andrew; Salapaka, Aditya Transportation Research Record: Journal of the Transportation Research Board, Vol. 2673, Issue 10 https://doi.org/10.1177/0361198119852337	journal	June 2019
Convex Fuel Consumption Model for Diesel and Hybrid Buses Wang, Jinghui; Rakha, Hesham A. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2647, Issue 1 https://doi.org/10.3141/2647-07	journal	January 2017
Modeling Transit Bus Fuel Consumption on the Basis of Cycle Properties Delgado, Oscar F.; Clark, Nigel N.; Thompson, Gregory J. Journal of the Air & Waste Management Association, Vol. 61, Issue 4 https://doi.org/10.3155/1047-3289.61.4.443	journal	April 2011

Similar Records

Data-driven estimation of energy consumption for electric bus under real-world driving conditions

Other · Fri Jul 09 00:00:00 EDT 2021 · Transportation Research. Part D, Transport and Environment · OSTI ID:1824217

Exhaust emission and fuel consumption of CNG/diesel fueled city buses calculated using a sample driving cycle

Journal Article · Wed Mar 31 23:00:00 EST 1999 · Energy Sources · OSTI ID:328327

Hybrid-Electric Transit Buses: NYCT (New York City Transit) Diesel Hybrid-Electric Buses: Final Results (Brochure)

Technical Report · Mon Jul 01 00:00:00 EDT 2002 · OSTI ID:15000745

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
artificial neural network
fuel consumption prediction
hybrid diesel transit bus

Hybrid electric buses fuel consumption prediction based on real-world driving data

Citation Formats

References (25)

Similar Records

Related Subjects