This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Variability in Driving Conditions and its Impact on Energy Consumption of Urban Battery Electric and Hybrid Buses
Technical Paper
2020-01-0598
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Growing environmental concerns and stringent vehicle emissions regulations has created an urge in the automotive industry to move towards electrified propulsion systems. Reducing and eliminating the emission from public transportation vehicles plays a major role in contributing towards lowering the emission level. Battery electric buses are regarded as a type of promising green mass transportation as they provide the advantage of less greenhouse gas emissions per passenger. However, the electric bus faces a problem of limited range and is not able to drive throughout the day without being recharged. This research studies a public bus transit system example which servicing the city of Ann Arbor in Michigan and investigates the impact of different electrification levels on the final CO2 reduction. Utilizing models of a conventional diesel, hybrid electric, and battery electric bus, the CO2 emission for each type of transportation bus is estimated. Vehicle speed data collected from various bus drives over different routes under different driving conditions are used to investigate the variability of drive conditions on performance metrics. Finally, recommendations are made for charge requirements of battery electric buses considering the variation in drive conditions which can result to an increase in the required charging time as high as 20%.
Recommended Content
Topic
Citation
Paunikar, A. and Salehi, R., "Variability in Driving Conditions and its Impact on Energy Consumption of Urban Battery Electric and Hybrid Buses," SAE Technical Paper 2020-01-0598, 2020, https://doi.org/10.4271/2020-01-0598.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 |
Also In
References
- Song , Q. et al. Could Urban Electric Public Bus Really Reduce the GHG Emissions: A Case Study in Macau J. Clean. Prod. 172 2018 2133 2142 2018
- OECD/IEA 2018 59 71
- Bill Canis , W.J.M. 2018
- Groom , N. 2017 https://www.reuters.com/article/us-transportation-buses-electric-analysi/u-s-transit-agencies-cautious-on-electric-buses-despite-bold-forecasts-idUSKBN1E60GS
- https://www.transit.dot.gov/funding/grants/lowno
- Baker , C.D. , Polito , K.E. , Governor , L. , Pollack , S. , and Secretary , M. Zero-Emission Transit Bus and Refueling Technologies and Deployment Status U.S Department of Transportation, Massachusetts Department of Transportation 2017
- Hao , H. , Ou , X. , Du , J. , Wang , H. , and Ouyang , M. China’s Electric Vehicle Subsidy Scheme: Rationale and Impacts Energy Policy 73 722 732 2014
- Li , J.-Q. Battery-Electric Transit Bus Developments and Operations: A Review Int J Sustain Transport 10 3 157 169 2014
- Wang , Y. , Huang , Y. , Xu , J. , and Barclay , N. Optimal Recharging Scheduling for Urban Electric Buses: A Case Study in Davis Transportation Research Part E 2017
- Chao , Z. and Xiaohong , C. Optimizing Battery Electric Bus Transit Vehicle Scheduling with Battery Exchanging: Model and Case Study Proc - Soc Behav Sci 96 2725 2736 2013
- Siemens https://www.industry.usa.siemens.com/drives/us/en/electric-drives/hybrid-drives/automotive/Documents/elfa-components-data-sheets.pdf
- Hung , Y. , Li , H. , Lee , H. , Chen , C. et al. System Design and Control Strategy for a Battery/Supercapacitor Electric Bus with an Integrated Fast Charger/Bus Stop Station SAE Technical Paper 2013-01-1459 2013 https://doi.org/10.4271/2013-01-1459
- Chira-Chavala , T. , Gillen , D. , Lee , K. , and Marshall , A. 1999
- Rogge , Matthias , van der Hurk , Evelien , Larsen , Allan , Sauer , Dirk Uwe Electric Bus Fleet Size and Mix Problem with Optimization of Charging Infrastructure Applied Energy 2018
- Pelletier , S. , Jabali , O. , and Laporte , G. 50th Anniversary Invited Article-Goods Distribution with Electric Vehicles: Review and Research Perspectives Transport Sci 50 1 3 22 2016
- Sivertsson , Martin , Sundstrom , Christofer , Eriksson , Lars Adaptive Control of a Hybrid Powertrain with Map - based ECMS Division of Vehicular Systems, Dept. of Electrical Engineering, The International Federation of Automatic Control Linkoping 211 224 2015
- Liu , J. Modeling, Configuration and Control Optimization of Power-Split Hybrid Vehicles ProQuest Dissertations Publishing 2007
- Liu , J. and Peng , H. Control Optimization for a Power-Split Hybrid Vehicle 2006 American Control Conference 2006 6