This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Fuel-Optimal Strategies for Vehicle Supported Military Microgrids
Technical Paper
2016-01-0312
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Vehicles with power exporting capability are microgrids since they possess electrical power generation, onboard loads, energy storage, and the ability to interconnect. The unique load and silent watch requirements of some military vehicles make them particularly well-suited to augment stationary power grids to increase power resiliency and capability. Connecting multiple vehicles in a peer-to-peer arrangement or to a stationary grid requires scalable power management strategies to accommodate the possibly large numbers of assets. This paper describes a military ground vehicle power management scheme for vehicle-to-grid applications. The particular focus is overall fuel consumption reduction of the mixed asset inventory of military vehicles with diesel generators typically used in small unit outposts. By exploiting peak efficiency operation of the diesel generators and the vehicle’s energy storage systems, the total fuel consumption can be reduced over a typical daily outpost load cycle. While military vehicle energy storage requirements are dominated by silent watch objectives, this work adds another dimension to the objective set to include outpost fuel consumption. Motivated by these requirements, an extensible MATLAB/Simulink simulation of the system was constructed using the complex nodal admittance matrix approach to connect stationary diesel generators and vehicles with two-way power flow for either supporting the power grid or acting as a load for charging their batteries. After describing the model and energy management strategy, simulation studies are used to illustrate the approach using both idealized and measured outpost load data.
Authors
Topic
Citation
Jane, R., Parker, G., Weaver, W., and Rizzo, D., "Fuel-Optimal Strategies for Vehicle Supported Military Microgrids," SAE Technical Paper 2016-01-0312, 2016, https://doi.org/10.4271/2016-01-0312.Also In
References
- Kempton , Willett , and Tomić Jasna Vehicle-to-grid Power Fundamentals: Calculating Capacity and Net Revenue Journal of Power Sources 144 1 2005 268 79
- Han , Sekyung , Han Soohee , and Sezaki Kaoru Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation IEEE Trans. Smart Grid IEEE Transactions on Smart Grid 1 1 2010 65 72 10.1109/TSG.2010.2045163
- Rizzo , Denise M. MILITARY VEHICLE OPTIMIZATION AND CONTROL Dissertation Michigan Technological University 2014
- Ersal , Tulga , Ahn Changsun , Hiskens Ian A. , Peng Huei et al. Impact of Controlled Plug-in EVs on Microgrids: A Military Microgrid Example 2011 IEEE Power and Energy Society General Meeting 1 7 10.1109/PES.2011.6039620
- Jane , Robert S. , Parker , Gordon G. , Weaver , Wayne W. , and Goldsmith , Steve Y. Simulation for Vehicle-to-Vehicle and Vehicle-to-Grid Resource Sharing Analysis Proceedings of the 2013 Ground Vehicle Systems Engineering and Technology Symposium (GVSETS) 2013 05 Nov. 2015
- Idaho National Engineering & Enviromental Laboratory FreedomCAR Battery Test Manual For Power-Assit Hybdir Electric Vehicles Idaho National Engineering & Enviromental Laboratory 2003
- Glover , J. Duncan , and Sarma Mulukutla S. Power System Analysis and Design 2nd Boston PWS Pub. 1994
- Battery and Energy Technologies Battery and Cell Chemistries. Battery Primer December 28 2015 http://www.mpoweruk.com/chemistries.htm
- Whitefoot , John W. , Mechtenberg Abigail R. , Peters Diane L. , and Papalambros Panos Y. Optimal Component Sizing and Forward-Looking Dispatch of an Electrical Microgrid for Energy Storage Planning 5 37th Design Automation Conference, Parts A and B