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Real-World Emission Modeling and Validations Using PEMS and GPS Vehicle Data
Technical Paper
2019-01-0757
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
Portable Emission Measurement Systems (PEMS) are used by the U.S. Environmental Protection Agency (EPA) to measure gaseous and particulate mass emissions from vehicles in normal, in-use, on-the-road operation to support many of its programs, including assessing mobile source emissions compliance, emissions factor assessment for in-use fleet modeling, and collection of in-use vehicle operational data to support vehicle simulation modeling programs. This paper discusses EPA’s use of Global Positioning System (GPS) measured altitude data and electronically logged vehicle speed data to provide real-world road grade data for use as an input into the Gamma Technologies GT-DRIVE+ vehicle model. The GPS measured altitudes and the CAN vehicle speed data were filtered and smoothed to calculate the road grades by using open-source Python code and associated packages. Ambient temperature, ambient pressure, humidity, wind direction, and speeds were used to simulate actual driving environment conditions, and to calculate vehicle performance, fuel economy, and emissions associated with environmental effects. Complete engine maps, transmission efficiencies, and vehicle data were used as inputs into the GT-DRIVE+ vehicle model to estimate fuel economy, greenhouse gas (GHG) and NOx emissions of a vehicle equipped with a 12-volt start-stop system. The model-simulated fuel economy, GHG and NOx emissions, engine torque, engine speed, and vehicle speeds were all in good agreement with the on-road measured fuel economy, GHG and NOx emissions from the PEMS vehicle test data.
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Lee, S., Fulper, C., McDonald, J., and Olechiw, M., "Real-World Emission Modeling and Validations Using PEMS and GPS Vehicle Data," SAE Technical Paper 2019-01-0757, 2019, https://doi.org/10.4271/2019-01-0757.Data Sets - Support Documents
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References
- Lee , B. , Lee , S. , Cherry , J. , Neam , A. et al. Development of Advanced Light-Duty Powertrain and Hybrid Analysis Tool (ALPHA) SAE Technical Paper 2013-01-0808 2013 10.4271/2013-01-0808
- Lee , S. , Cherry , J. , Safoutin , M. , and McDonald , J. Modeling and Validation of 12V Lead-Acid Battery for Stop-Start Technology SAE Technical Paper 2017-01-1211 2017 10.4271/2017-01-1211
- Lee , S. , Cherry , J. , Safoutin , M. , McDonald , J. et al. Modeling and Controls Development of 48V Mild Hybrid Electric Vehicles SAE Technical Paper 2018-01-0413 2018 10.4271/2018-01-0413
- Lee , S. , Cherry , J. , Safoutin , M. , McDonald , J. et al. Modeling and Validation of 48 V Mild Hybrid Lithium-Ion Battery Pack SAE Technical Paper 2018-01-0433 2018 10.4271/2018-01-0433
- Lee , S. , Lee , B. , McDonald , J. , Sanchez , J. et al. Modeling and Validation of Power-Split and P2 Parallel Hybrid Electric Vehicles SAE Technical Paper 2013-01-1470 2013 10.4271/2013-01-1470
- EPA 2015
- EPA 2015
- EPA 2015
- Gamma Technologies 2018
- Federal Register
- Sensors 2018
- Sensors 2018
- Stanard , A. , Fulper , C. , Kishan , S. , and Sabisch , M. Measurement and Analysis of the Operations of Drayage Trucks in the Houston Area in Terms of Activities and Exhaust Emissions SAE Int. J. Commer. Veh. 11 2 77 92 2018 10.4271/02-11-02-0007
- Ntziachristos , L. et al. Exhaust Particle Sensor for OBD Application SAE Technical Paper 2011-01-0626 2011 2011 10.4271/2011-01-0626
- Tikkanen , J. et al. Pegasor Particle Sensor (PPS-M) for Raw Exhaust PM Measurement 21st CRC Real World Emissions Workshop San Diego, USA March 20-23, 2011
- Newman , K. , Kargul , J. , and Barba , D. Benchmarking and Modeling of a Conventional Mid-Size Car Using ALPHA SAE Technical Paper 2015-01-1140 2015 10.4271/2015-01-1140
- Chen , M. and Rincon-Mora , G.A. Accurate Electrical Battery Model Capable of Predicting Runtime and I-V Performance IEEE Transaction on Energy Conversion 21 2 504 511 2006 10.1109/TEC.2006.874229
- Pesaran , A.A. Battery Thermal Models for Hybrid Vehicle Simulations Journal of Power Sources 110 2 377 382 2002 10.1016/50378-7753(02)00200-8
- Ismail , N. , Toha , S. , Azubir , N. , Izhak , N. et al. Simplified Heat Generation Model for Lithium ion Battery Used in Electric Vehicle IOP Conf. Series: Materials Science and Engineering 52 012014 2013 10.1088/1757-899X/53/1/012014
- Catherino , H.A. Estimation of the Heat Generation Rates in Electrochemical Cells Journal of Power Sources 239 1 505 512 2013 doi.org/10.1016/jpowrsour.2013.03.169
- EPA Greenhouse Gases Equivalencies Calculator - Calculations and References https://www.epa.gov/energy/greenhouse-gases-equivalencies-calculator-calculations-and-references
- Federal Register Light-Duty Vehicle Greenhouse Gas Emission Standards and Corporate Average Fuel Economy Standards; Final Rule 2010
- Innovation, Science and Economic Development Canada 2018
- Baker , D. , Asher , Z. , and Bradley , T.
- Baker , D. , Asher , Z. , and Bradley , T. Driving Data for Improved Engine On/Off Control of the EcoCAR3 Hybrid Camaro SAE Technical Paper 2017-01-1262 2017 10.4271/2017-01-1262
- Asher , Z. , Tunnell , J. , Baker , D. , Fitzgerald , R. et al. Enabling Prediction for Optimal Fuel Economy Vehicle Control SAE Technical Paper 2018-01-1015 2018 10.4271/2018-01-1015