In this paper, the German electricity wholesale market is modeled by individual profit maximizing agents. The agents use a learning approach called “model predictive bidding” to choose bidding curves for the upcoming day which are sent to the spot market. The chosen bidding curves thereby maximize the agents’ expected discounted profits. In contrast to traditional agent learning approaches such...

This paper investigates power management algorithms that optimally manage lithium-ion battery pack health, in terms of anode-side film growth, for plug-in hybrid electric vehicles (PHEVs). Specifically, we integrate a reduced electrochemical model of solid electrolyte interface (SEI) film formation into a stochastic dynamic programming formulation of the PHEV power management problem. This make...

Recently, attention to CO2 or greenhouse gas emissions has increased. The need reduce it is also increasing in various countries. One of them by reducing from vehicles. Due increasingly sophisticated technological advances, many vehicle manufacturers worldwide have switched electric In the world, types models been developed, one which Plug-in Hybrid Electric Vehicle PHEV. Indonesia, this very s...

The mode transition from electric propulsion mode to hybrid propulsion mode is important with regard to the power management strategy of plug-in hybrid electric vehicles (PHEVs). This is because mode transitions can occur frequently depending on the power management strategies and driving cycles, and because inadequate mode transitions worsen the fuel efficiency and drivability. A pre-transmiss...

Plug-in Hybrid Electric Vehicles (PHEV) technology shows great interest in the recent scientific literatures. Vehicle-to-grid (V2G) is a interconnection of energy storage of PHEVs and grid. By implementation of V2G dependencies of the power system on small expensive conventional units can be reduced, resulting in reduced operational cost. This paper represents an intelligent unit commitment (UC...

In order to further improve the whole vehicle economy of a novel plug-in hybrid electric vehicle (PHEV), considering two main factors, which are the driving working conditions and the driving distance, influencing the whole vehicle economy, a control strategy based on fuzzy self-adaptive online recognition is provided. A fuzzy working condition recognition algorithm is designed to online recogn...

Supervisory Committee Dr. Andrew Rowe (Department of Mechanical Engineering) Supervisor Dr. Peter Wild (Department of Mechanical Engineering Co-Supervisor Dr. Curran Crawford (Department of Mechanical Engineering) Departmental Member Plug-in hybrid electric vehicles (PHEVs) represent a promising future direction for the personal transportation sector in terms of decreasing the reliance on fossi...