A Vehicle Emissions System Using a Car Simulator and a Geographical Information System: Part 1—System Description and Testing
Author:
Affiliation:
1. a Centro de Ciencias de la Atmósfera , Universidad Nacional Autó noma de México , Mexico City , Mexico
2. b Imperial College , London , United Kingdom
3. c International Sustainable Systems Research , La Habra , CA , usa
Publisher
Informa UK Limited
Subject
Management, Monitoring, Policy and Law,Waste Management and Disposal
Link
https://www.tandfonline.com/doi/pdf/10.3155/1047-3289.57.10.1234
Reference9 articles.
1. International Vehicle Emission Model, IVE; available on the Global Sustainable Systems Research Web site athttp://www.issrc.org/ive(accessed 2007).
2. Bhatikar S.R.; Mahajan, R.L.Artificial Neural Network Based Energy Storage System. Modeling for Hybrid Electric Vehicles;SAE Technical Paper 2000-01-1564; Society of Automotive Engineers: Warrendale, PA, 2000.
3. Bhatikar, S.R.; Mahajan, R.L.; Wipke, K.; Johnson, V. An Artificial Neural Network Module for Simulation of the Energy Storage System of a Hybrid Electric Vehicle. InProceedings of the Institution of Mechanical Engineers Part C—Journal of Mechanical Engineering Science; 215, 2001, pp 919–932.
4. Cuddy, M.R.; Wipke, K.B.Analysis of the Fuel Economy Benefit of Drive Train Hybridization;SAE Technical Paper 970289; Presented at SAE International Congress and Exposition, Detroit, MI, National Renewable Energy Laboratory, 1997.
5. Johnson, V.H.; Wipke, K.B.; Rausen, D.J.HEV Control Strategy for Real-Time Optimization of Fuel Economy and Emisions. SAE Technical Paper 2000-01-1543. Presented at SAE International Congress and Exposition, Detroit, MI, 2000.
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