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Jul 31, 2015·Office of Scientific and Technical Information (OSTI)
1 cites
Plug-In Hybrid Urban Delivery Truck Technology Demonstration

Matt Miyasato, Joseph Impllitti, Pascal Amar

The I-710 and CA-60 highways are key transportation corridors in the Southern California region that are heavily used on a daily basis by heavy duty drayage trucks that transport the cargo from the ports to the inland transportation terminals. These terminals, which include store/warehouses, inland-railways, are anywhere from 5 to 50 miles in distance from the ports. The concentrated operation of these drayage vehicles in these corridors has had and will continue to have a significant impact on the air quality in this region whereby significantly impacting the quality of life in the communities surrounding these corridors. To reduce these negative impacts it is critical that zero and near-zero emission technologies be developed and deployed in the region. A potential local market size of up to 46,000 trucks exists in the South Coast Air Basin, based on near- dock drayage trucks and trucks operating on the I-710 freeway. The South Coast Air Quality Management District (SCAQMD), California Air Resources Board (CARB) and Southern California Association of Governments (SCAG) — the agencies responsible for preparing the State Implementation Plan required under the federal Clean Air Act — have stated that to attain federal air quality standards the region will need to transition to broad use of zero and near zero emission energy sources in cars, trucks and other equipment (Southern California Association of Governments et al, 2011). SCAQMD partnered with Volvo Trucks to develop, build and demonstrate a prototype Class 8 heavy-duty plug-in hybrid drayage truck with significantly reduced emissions and fuel use. Volvo’s approach leveraged the group’s global knowledge and experience in designing and deploying electromobility products. The proprietary hybrid driveline selected for this proof of concept was integrated with multiple enhancements to the complete vehicle in order to maximize the emission and energy impact of electrification. A detailed review of all technologies included in the demonstrator is presented in this report. The project was completed in July 2015 with a final demonstration of the concept vehicle on a simulated drayage route around Volvo’s North American headquarters in Greensboro, NC. The route included all traffic conditions typical of drayage operation in Southern California as well as geofences defined to showcase the zero emission capabilities of the truck. The demonstrator successfully completed four consecutive trips with a gross combined vehicle weight of 44,000 lb., covering approximately 2 miles out of a total distance of 9 miles per trip in the Zero Emission (ZE) geofence. This vehicle is expected to use approximately 30% less fuel than a typical drayage truck in daily operation, and it is designed to allow full electric operation whenever operating in a marine terminal in the ports of Los Angeles / Long Beach. A paper study on the feasibility of expanding the capabilities of the plug-in hybrid concept developed as part of this project was also delivered as an addendum to the regular progress reports.

Open access
Vehicle emissions and performance
Electric Vehicles and Infrastructure
Electric and Hybrid Vehicle Technologies
Original source
Jun 12, 2015·IEEE Transactions on Smart Grid
204 cites
Capacity Estimation for Vehicle-to-Grid Frequency Regulation Services With Smart Charging Mechanism

Albert Y. S. Lam, Ka-Cheong Leung, Victor O. K. Li

Due to various green initiatives, renewable energy will be massively incorporated into the future smart grid. However, the intermittency of the renewables may result in power imbalance, thus adversely affecting the stability of a power system. Frequency regulation may be used to maintain the power balance at all times. As electric vehicles (EVs) become popular, they may be connected to the grid to form a vehicle-to-grid (V2G) system. An aggregation of EVs can be coordinated to provide frequency regulation services. However, V2G is a dynamic system where the participating EVs come and go independently. Thus, it is not easy to estimate the regulation capacities for V2G. In a preliminary study, we modeled an aggregation of EVs with a queueing network, whose structure allows us to estimate the capacities for regulation-up and regulation-down separately. The estimated capacities from the V2G system can be used for establishing a regulation contract between an aggregator and the grid operator, and facilitating a new business model for V2G. In this paper, we extend our previous development by designing a smart charging mechanism that can adapt to given characteristics of the EVs and make the performance of the actual system follow the analytical model.

Open access
Electric Vehicles and Infrastructure
Advanced Battery Technologies Research
Electric and Hybrid Vehicle Technologies
Original source
Jan 1, 2012·2012 IEEE PES Innovative Smart Grid Technologies (ISGT)
72 cites
PEV-based combined frequency and voltage regulation for smart grid

Chenye Wu, Hamed Mohsenian‐Rad, Jianwei Huang, Juri Jatskevich

With the increasing popularity of plug-in electric vehicles (PEVs), they will be able to help the power grid by providing various ancillary services. In fact, recent studies have suggested that PEVs can participate in frequency regulation. In this paper, we consider offering both, i.e., combined, frequency and voltage regulation by PEVs. In this regard, we first investigate a set of constraints that need to be taken into account on PEVs' active and reactive power flow to offer ancillary services. Next, we formulate two joint optimization problems, based on different pricing and contract scenarios, that can be solved for optimal combined offering of frequency and voltage regulation by PEVs. They address both day-ahead command-based and day-ahead price-based models. Simulation results show that the proposed designs can benefit both users and utilities.

Electric Vehicles and Infrastructure
Smart Grid Energy Management
Microgrid Control and Optimization
Original source