Accession Number : ADA623662


Title :   Optimal Policies for the Management of a Plug-In Hybrid Electric Vehicle Swap Station


Descriptive Note : Master's thesis


Corporate Author : AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT


Personal Author(s) : Widrick, Rebecca S


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a623662.pdf


Report Date : 26 Mar 2015


Pagination or Media Count : 77


Abstract : Optimizing operations at plug-in hybrid electric vehicle (PHEV) battery swap stations is internally motivated by the movement to make transportation cleaner and more efficient. A PHEV swap station allows PHEV owners to quickly exchange their depleted PHEV battery for a fully charged battery. The PHEV-Swap Station Management Problem (PHEV-SSMP) is introduced, which models battery charging and discharging operations at a PHEV swap station facing nonstationary, stochastic demand for battery swaps, nonstationary prices for charging depleted batteries, and nonstationary prices for discharging fully charged batteries. Discharging through vehicle-to-grid is beneficial for aiding power load balancing. The objective of the PHEV-SSMP is to determine the optimal policy for charging and discharging batteries that maximizes expected total profit over a fixed time horizon. The PHEV-SSMP is formulated as a finite-horizon, discrete-time Markov decision problem and an optimal policy is found using dynamic programming. Structural properties are derived, to include sufficiency conditions that ensure the existence of a monotone optimal policy. A computational experiment is developed using realistic demand and electricity pricing data. The optimal policy is compared to two benchmark policies which are easily implementable by PHEV swap station managers. Two designed experiments are conducted to obtain policy insights regarding the management of PHEV swap stations. These insights include the minimum battery level in relationship to PHEVs in a local area, the incentive necessary to discharge, and the viability of PHEV swap stations under many conditions.


Descriptors :   *BATTERY CHARGERS , *ELECTRIC PROPULSION , *HYBRID SYSTEMS , *MARKOV PROCESSES , *PLUG IN UNITS , CLEANING COMPOUNDS , COMPUTATIONS , COST ANALYSIS , DEPLETION , DISCRETE DISTRIBUTION , DYNAMIC PROGRAMMING , ELECTRICITY , EXCHANGE , MANAGEMENT , MANAGEMENT PERSONNEL , MODELS , MONOTONE FUNCTIONS , MOTIVATION , OPTIMIZATION , POLICIES , STANDARDS , STATIONS , STOCHASTIC PROCESSES , STORAGE BATTERIES , STRUCTURAL PROPERTIES , THESES , TIME , TRANSPORTATION , VEHICLES , VIABILITY


Subject Categories : Electrochemical Energy Storage
      Electric and Ion Propulsion


Distribution Statement : APPROVED FOR PUBLIC RELEASE