Measuring, Evaluating, and Modeling Energy Use and Emission Rates for a Plug-In Hybrid Electric Vehicle Based on Real-World Measurement PDF Download

Author: Xiaohui Zheng
Publisher:
ISBN:
Category :
Languages : en
Pages : 255

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Author: Brandon Michael Graver
Publisher:
ISBN:
Category :
Languages : en
Pages : 88

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Languages : en
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Plug-in hybrid electric vehicles (PHEVs) are being developed for mass production by the automotive industry. PHEVs have been touted for their potential to reduce the US transportation sector's dependence on petroleum and cut greenhouse gas (GHG) emissions by (1) using off-peak excess electric generation capacity and (2) increasing vehicles energy efficiency. A well-to-wheels (WTW) analysis - which examines energy use and emissions from primary energy source through vehicle operation - can help researchers better understand the impact of the upstream mix of electricity generation technologies for PHEV recharging, as well as the powertrain technology and fuel sources for PHEVs. For the WTW analysis, Argonne National Laboratory researchers used the Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model developed by Argonne to compare the WTW energy use and GHG emissions associated with various transportation technologies to those associated with PHEVs. Argonne researchers estimated the fuel economy and electricity use of PHEVs and alternative fuel/vehicle systems by using the Powertrain System Analysis Toolkit (PSAT) model. They examined two PHEV designs: the power-split configuration and the series configuration. The first is a parallel hybrid configuration in which the engine and the electric motor are connected to a single mechanical transmission that incorporates a power-split device that allows for parallel power paths - mechanical and electrical - from the engine to the wheels, allowing the engine and the electric motor to share the power during acceleration. In the second configuration, the engine powers a generator, which charges a battery that is used by the electric motor to propel the vehicle; thus, the engine never directly powers the vehicle's transmission. The power-split configuration was adopted for PHEVs with a 10- and 20-mile electric range because they require frequent use of the engine for acceleration and to provide energy when the battery is depleted, while the series configuration was adopted for PHEVs with a 30- and 40-mile electric range because they rely mostly on electrical power for propulsion. Argonne researchers calculated the equivalent on-road (real-world) fuel economy on the basis of U.S. Environmental Protection Agency miles per gallon (mpg)-based formulas. The reduction in fuel economy attributable to the on-road adjustment formula was capped at 30% for advanced vehicle systems (e.g., PHEVs, fuel cell vehicles [FCVs], hybrid electric vehicles [HEVs], and battery-powered electric vehicles [BEVs]). Simulations for calendar year 2020 with model year 2015 mid-size vehicles were chosen for this analysis to address the implications of PHEVs within a reasonable timeframe after their likely introduction over the next few years. For the WTW analysis, Argonne assumed a PHEV market penetration of 10% by 2020 in order to examine the impact of significant PHEV loading on the utility power sector. Technological improvement with medium uncertainty for each vehicle was also assumed for the analysis. Argonne employed detailed dispatch models to simulate the electric power systems in four major regions of the US: the New England Independent System Operator, the New York Independent System Operator, the State of Illinois, and the Western Electric Coordinating Council. Argonne also evaluated the US average generation mix and renewable generation of electricity for PHEV and BEV recharging scenarios to show the effects of these generation mixes on PHEV WTW results. Argonne's GREET model was designed to examine the WTW energy use and GHG emissions for PHEVs and BEVs, as well as FCVs, regular HEVs, and conventional gasoline internal combustion engine vehicles (ICEVs). WTW results are reported for charge-depleting (CD) operation of PHEVs under different recharging scenarios. The combined WTW results of CD and charge-sustaining (CS) PHEV operations (using the utility factor method) were also examined and reported. According to the utility factor method, the share of vehicle miles traveled during CD operation is 25% for PHEV10 and 51% for PHEV40. Argonne's WTW analysis of PHEVs revealed that the following factors significantly impact the energy use and GHG emissions results for PHEVs and BEVs compared with baseline gasoline vehicle technologies: (1) the regional electricity generation mix for battery recharging and (2) the adjustment of fuel economy and electricity consumption to reflect real-world driving conditions. Although the analysis predicted the marginal electricity generation mixes for major regions in the United States, these mixes should be evaluated as possible scenarios for recharging PHEVs because significant uncertainties are associated with the assumed market penetration for these vehicles. Thus, the reported WTW results for PHEVs should be directly correlated with the underlying generation mix, rather than with the region linked to that mix.

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ISBN: 9789279772160
Category :
Languages : en
Pages :

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In order to assess potential benefits brought by the electrification of transport it becomes more and more important to evaluate the performance of hybrid electric vehicles (HEVs) in real-driving conditions, measuring on-road air pollutant emissions and energy efficiency. The present report describes a portable system used at JRC for e-measurements in hybrid and electric vehicles, as an upgrade of the classic PEMS (Portable Emission Measurement System). Preliminary results of a test campaign conducted on a Euro-6 Plug-in Hybrid Passenger Car (PHEV) equipped with a Flywheel Alternator Starter (FAS) are reported. The influence of different driving modes as well as of different initial battery state of charge on CO2 and NOx emissions and energy consumption has been evaluated.

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Languages : en
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Since the transportation sector is a significant contributor of air pollution, the capabilities of estimating fuel use and emissions for various vehicles is important to air quality studies as well as the development of environmental guidelines and policy recommendations. In this thesis, a common or similar modeling approach based on second-by-second data using portable emission measurement system (PEMS) was developed to estimate energy and emission estimation for a wide variety of on-road and non-road sources with conventional and alternative technology. Based on vehicle-specific power (VSP) and speed-acceleration modal models, two correction factors were developed to estimate fuel consumption and emissions for vehicles which were driven with high and constant speed on highway. The corrected emission factors for NOx, HC, CO, and CO2 were significantly higher for high speeds and lower for low speeds than base emission factors estimated using MOBILE6 which is based on transient test cycles with durations on the order of 10 minutes. A similar methodology was used to estimate energy use and emissions for a plug-in hybrid diesel-electric school bus (PHSB) and conventional diesel school bus (CDSB) for typical school bus routes in NC. To quantify the reduction of fuel use and emissions between PHSB and CDSB for same driving routes, the mixed-modal models based on manifold absolute pressure and VSP versus emissions were developed. Plug-in hybrid technology showed significant emission reductions for stop-and-go driving pattern. These results could provide a support for transportation and air quality management. This thesis also introduces a simplified emission estimation methodology for locomotives based on rail-yard measurements using PEMS. This alternative measurement method is faster and cheaper than a federal reference method (FRM). The fuel-based emission rates based on PEMS measurement were comparable to FRM. It should serve as a useful basis of comparison to data in.

Author: Lino Guzzella
Publisher: Springer Science & Business Media
ISBN: 3540746927
Category : Technology & Engineering
Languages : en
Pages : 345

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The authors of this text have written a comprehensive introduction to the modeling and optimization problems encountered when designing new propulsion systems for passenger cars. It is intended for persons interested in the analysis and optimization of vehicle propulsion systems. Its focus is on the control-oriented mathematical description of the physical processes and on the model-based optimization of the system structure and of the supervisory control algorithms.

Author: Light Duty Vehicle Performance and Economy Measure Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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This Society of Automotive Engineers (SAE) Recommended Practice establishes uniform chassis dynamometer test procedures for hybrid-electric vehicles (HEVs) that are designed to be driven on public roads. The procedure provides instructions for measuring and calculating the exhaust emissions and fuel economy of HEVs driven on the Urban Dynamometer Driving Schedule (UDDS) and the Highway Fuel Economy Driving Schedule (HFEDS), as well as the exhaust emissions of HEVs driven on the US06 Driving Schedule (US06) and the SC03 Driving Schedule (SC03). However, the procedures are structured so that other driving schedules may be substituted, provided that the corresponding preparatory procedures, test lengths, and weighting factors are modified accordingly.Furthermore, this document does not specify which emissions constituents to measure (e.g., HC, CO, NOx, CO2); instead, that decision will depend on the objectives of the tester. The emissions calculations for plug-in hybrid-electric vehicle (PHEV) operation are provided as inventory results, weighted in the same manner as fuel and electrical energy consumption. Decisions for on-board versus off-board emissions, relative benefits of emissions-free driving, and how best to weight a "cold-start" cycle in charge-depleting (CD) mode must first be made before a certification methodology can be determined. Thus, calculations or test methodology intended to certify a PHEV for compliance of emissions standards is beyond the scope of this document.For purposes of this test procedure, an HEV is defined as a road vehicle that can draw propulsion energy from both of the following sources of stored energy: (1) a consumable fuel and (2) a rechargeable energy storage system (RESS) that is recharged by the on-board hybrid propulsion system, an external electric energy source, or both. Consumable fuels that are covered by this document are limited to petroleum-based liquid fuels (e.g., gasoline and Diesel fuel), alcohol-based liquid fuels (e.g., methanol and ethanol), and hydrocarbon-based gaseous fuels (e.g., compressed natural gas). The RESSs that are covered by this document include batteries, capacitors, and electromechanical flywheels. Procedures are included to test CD operating modes of HEVs designed to be routinely charged off-board, and calculations are provided that combine the CD and charge-sustaining (CS) behavior according to in-use driving statistics.The HEVs shall have an RESS with a nominal energy >2% of the fuel consumption energy of a particular test cycle to qualify to be tested with the procedures contained in this document.Single-roll, electric dynamometer test procedures are specified to minimize the test-to-test variations inherent in track testing and to conform to standard industry practice for exhaust emissions and fuel economy measurements.This document does not include test procedures for recharge-dependent (RD) operating modes or vehicles (see 3.1.2 for the definition).This document does not address the methods or equations necessary to calculate the adjusted U.S. Environmental Protection Agency (EPA) label miles per gallon (MPG) (sometimes referred to "EPA 5-Cycle" calculations). Hybrid-electric vehicle (HEV) technology has progressed significantly since the original publication of SAE standard J1711. The HEV has been in production for over a decade and parts of the original procedure have successfully addressed charge-sustaining HEVs. However, at the time of this revision, plug-in hybrid technology has experienced rapid development. As such, the procedures to address this technology needed to be revisited and modified to accommodate the operational possibilities demonstrated by the diverse set of working prototypes and simulated vehicles in the literature. Also, the list of standard test procedures addressed in SAE J1711 has been expanded to cover all five major test cycle procedures (UDDS, HFEDS, US06, SC03, and Cold FTP) now being used to evaluate vehicle fuel economy.

Author: Patrick Plötz
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Plug-in hybrid electric vehicles (PHEVs) combine electric and conventional propulsion. Official fuel consumption values of PHEVs are based on standardized driving cycles, which show a growing discrepancy with real-world fuel consumption. However, no comprehensive empirical results on PHEV fuel consumption are available, and the discrepancy between driving cycle and empirical fuel consumption has been conjectured to be large for PHEV. Here, we analyze real-world fuel consumption data from 2,005 individual PHEVs of five PHEV models and observe large variations in individual fuel consumption with deviation from test-cycle values in the range of 2% to 120% for PHEV model averages. Deviations are larger for short-ranged PHEVs. Among others, range and vehicle power are influencing factors for PHEV model fuel consumption with average direct carbon dioxide (CO) emissions decreasing by 2% to 3% per additional kilometer (km) of electric range. Additional simulations show that PHEVs recharged from renewable electricity can noteworthily reduce well-to-wheel CO emissions of passenger cars, but electric ranges should not exceed 200 to 300 km since battery production is CO-intense. Our findings indicate that regulations should (1) be based on real-world fuel consumption measurements for PHEV, (2) take into account charging behavior and annual mileages, and (3) incentivize long-ranged PHEV.

Author: Light Duty Vehicle Performance and Economy Measure Committee
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
This Society of Automotive Engineers (SAE) Recommended Practice establishes uniform chassis dynamometer test procedures for hybrid-electric vehicles (HEVs) that are designed to be driven on public roads. The procedure provides instructions for measuring and calculating the exhaust emissions and fuel economy of HEVs driven on the Urban Dynamometer Driving Schedule (UDDS) and the Highway Fuel Economy Driving Schedule (HFEDS), as well as the exhaust emissions of HEVs driven on the US06 Driving Schedule (US06) and the SC03 Driving Schedule (SC03). However, the procedures are structured so that other driving schedules may be substituted, provided that the corresponding preparatory procedures, test lengths, and weighting factors are modified accordingly.Furthermore, this document does not specify which emissions constituents to measure (e.g., HC, CO, Ndx, CO2); instead, that decision will depend on the objectives of the tester. The emissions calculations for plug-in hybrid-electric vehicle (PHEV) operation are provided as inventory results, weighted in the same manner as fuel and electrical energy consumption. Decisions for on-board versus off-board emissions, relative benefits of emissions-free driving, and how best to weight a "cold-start" cycle in charge-depleting (CD) mode must first be made before a certification methodology can be determined. Thus, calculations or test methodology intended to certify a PHEV for compliance of emissions standards is beyond the scope of this document.For purposes of this test procedure, an HEV is defined as a road vehicle that can draw propulsion energy from both of the following sources of stored energy: (1) a consumable fuel and (2) a rechargeable energy storage system (RESS) that is recharged by the on-board hybrid propulsion system, an external electric energy source, or both. Consumable fuels that are covered by this document are limited to petroleum-based liquid fuels (e.g., gasoline and Diesel fuel), alcohol-based liquid fuels (e.g., methanol and ethanol), and hydrocarbon-based gaseous fuels (e.g., compressed natural gas). The RESSs that are covered by this document include batteries, capacitors, and electromechanical flywheels. Procedures are included to test CD operating modes of HEVs designed to be routinely charged off-board, and calculations are provided that combine the CD and charge-sustaining (CS) behavior according to in-use driving statistics.The HEVs shall have an RESS with a nominal energy >2% of the fuel consumption energy of a particular test cycle to qualify to be tested with the procedures contained in this document.Single-roll, electric dynamometer test procedures are specified to minimize the test-to-test variations inherent in track testing and to conform to standard industry practice for exhaust emissions and fuel economy measurements.This document does not include test procedures for recharge-dependent (RD) operating modes or vehicles (see 3.1.2 for the definition).This document does not address the methods or equations necessary to calculate the adjusted U.S. Environmental Protection Agency (EPA) label miles per gallon (MPG) (sometimes referred to "EPA 5-Cycle" calculations).

Author: Kevin Lloyd Snyder
Publisher:
ISBN:
Category : Automobiles
Languages : en
Pages : 138

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% Charge Depletion Range o 43% --> 24% Charge Sustaining Fuel Consumption o 47% --> 27% UF-Weighted Fuel Energy Consumption o 9% --> 1% UF-Weighted AC Electric Energy consumption o 38% --> 21% UF-Weighted Total Energy Consumption o 45% --> 26% UF-Weighted Well To Wheel Petroleum Energy Use o 43% --> 31% UF-Weighted Well To Wheel GHG Emissions However, significant error (more than 10%) still exists and more work is needed in: * 1 of 3 Dynamic Performance metrics * 6 of 8 Emissions & Energy Consumption metrics Future work includes adding a torque converter plant model between the engine plant model and the transmission plant model on the front wheel drive powertrain, implementing identified advancements into the engine and transmission plant models, and additional analysis for validation of the engine and transmission plant models. The vehicle plant model now provides higher confidence and higher accuracy (in most cases) for the simulation results, making the vehicle plant model significantly more useful for evaluating fuel economy, dynamic performance, and emissions improvement results when testing the team's controls code changes for optimization.