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At least 253 records · Page 14

Analyzing the Impacts of a Biogas-to-Electricity Purchase Incentive on Electric Vehicle Deployment with the MA 3 T Vehicle Choice Model

In 2014, the EPA approved a biogas-to-electricity pathway under the Renewable Fuel Standard (RFS). However, no specific applications for this pathway have been approved to date. This analysis helps understand the impact of the pathway by representing the biogas-to-electricity pathway as a point of purchase incentive and tests the impact of this incentive on EV deployment using a vehicle consumer choice model.

33 ADVANCED PROPULSION SYSTEMS↗

Are Plug-In Electric Vehicle Driver Preferences an Effective Method for Siting Publicly Accessible Electric Vehicle Supply Equipment?

The lack of public charging infrastructure for PEVs has been identified as a barrier to their widespread adoption. Federal and state grants have been awarded to promote public charging infrastructure and retail businesses have shown interest in installing charging infrastructure. A common question for Electric Vehicle Service Providers (EVSP) is, “Where should the chargers be placed?”

33 ADVANCED PROPULSION SYSTEMS↗

China Vehicle Fleet Model: Estimation of Vehicle Stocks, Usage, Emissions, and Energy Use - Model Description, Technical Documentation, and User Guide

With fast economic growth, urbanization, and industrialization, China has experienced rapid expansion in the on-road transportation sector in the past three decades. The highway vehicle population in China increased from 1.65 million in 1980 to 208 million in 2017 with an annual average growth rate (AAGR) of about 14% .

33 ADVANCED PROPULSION SYSTEMS↗

Navistar eStar Vehicle Performance Evaluation - Cumulative; Energy Efficiency & Renewable Energy (EERE), Vehicle Technologies Office (VTO)

The Fleet Test and Evaluation Team at the U.S. Department of Energy's National Renewable Energy Laboratory is evaluating and documenting the performance of electric and plug-in hybrid electric drive systems in medium-duty trucks across the nation. U.S. companies participating in this evaluation project received funding from the American Recovery and Reinvestment Act to cover part of the cost of purchasing these vehicles. Through this project, Navistar will build and deploy all-electric medium-duty trucks. The trucks will be deployed in diverse climates across the country. This cumulative report covers the period through the third quarter of 2013.

33 ADVANCED PROPULSION SYSTEMS↗

Multifunctional structural lithium-ion battery for electric vehicles

An innovative concept for a multifunctional structural battery using lithium-ion battery materials as load bearing elements in a sandwich panel construction has been demonstrated. The structural battery prototype has exhibited an initial capacity of 17.85 Ah, an energy density of 248 Wh L −1 , a specific energy of 102 Wh kg −1 , and a capacity retention of 85.8% after 190 charge–discharge cycles at ~ C/3 rate and eight mechanical loading cycles (upto 1060 N). The mechanical stiffness in three-point bend tests follows expectations based on sandwich beam theory, proving that the battery materials are sharing in the load-carrying function of the sandwich panel. While areas for improvement of the fabrication and performance of the prototype still exist, the results of the current investigation demonstrate the promising potential of the proposed structural battery concept for the efficient use of space and mass in an electric vehicle.

Zhang, Yancheng↗

Quantitative Effects of Vehicle Parameters on Fuel Consumption for Heavy-Duty Vehicle

The National Renewable Energy Laboratory's (NREL's) Fleet Test and Evaluations team recently conducted chassis dynamometer tests of a class 8 conventional regional delivery truck over the Heavy Heavy-Duty Diesel Truck (HHDDT), West Virginia University City (WVU City), and Composite International Truck Local and Commuter Cycle (CILCC) drive cycles. A quantitative study was conducted by analyzing the impacts of various factors on fuel consumption (FC) and fuel economy (FE) by modeling and simulating the truck using NREL's Future Automotive Systems Technology Simulator (FASTSim). Factors used in this study included vehicle weight, and the coefficients of rolling resistance and aerodynamic drag. The simulation results from a single parametric study revealed that FC was approximately a linear function of the weight, coefficient of aerodynamic drag, and rolling resistance over various drive cycles. Among these parameters, the truck weight had the largest effect on FC. The study of the impact of two technologies on FE suggested that, depending on the circumstances, it may be more cost effective to reduce one parameter (such as coefficient of aerodynamic drag) to increase fuel economy, or it may be more beneficial to reduce another (such as the coefficient of rolling resistance). It also provided a convenient way to estimate FE by interpolating within the parameter values and extrapolating outside of them. The simulation results indicated that the FC could be reduced from 38.70 L/100 km, 50.72 L/100 km, and 38.42 L/100 km in the baseline truck to 26.78 L/100 km, 43.14 L/100 km and 29.84 L/100 km over the HHDDT, WVU City and CILCC drive cycles, respectively, when the U.S. Department of Energy's three targeted new technologies were applied simultaneously.

33 ADVANCED PROPULSION SYSTEMS↗