Most energy management systems for hybrid electric vehicles rely on information stored in lookup tables, to define the current mode of operation under certain circumstances. In this paper it is demonstrated how the theory of hybrid optimal control can be used to calculate an initial parameter set for the calibration of parallel hybrid electric vehicles. After solving a hybrid optimal control pr...

In this paper, an intelligent electric power steering system is proposed to replace a traditional hydraulic power steering system and implemented in a real light hybrid electric vehicle. An intelligent fuzzy control algorithm is applied to yield basic assist logic, return compensation logic, damping compensation logic, and inertia compensation logic in an assist steering system. According to st...

Use of adaptive energy management strategies is essential in improving energy utilization, efficiency, and sustainable operation of embedded systems. Accordingly, this paper presents embedded system applications, which are suitable for employing adaptive energy management utilized reinforcement learning. We proposed rewarding function for embedded system applications in stimulating the learning...

Automobile emissions such as carbon dioxide, nitrogen oxide and particulate matter are coming under progressively strict regulations worldwide. Meeting the increasingly severe requirements will require wider use of electric vehicles, including hybrid electric cars, and of high-efficiency electrified powertrains for better fuel economy. For this, implementation of still more compact, higher outp...

The paper presents the analysis of two basic control strategies, the series thermostat control strategy and the series power follower control strategy, used for series hybrid electric vehicles. One of these control strategies, the series thermostat control strategy, is programmed and installed in an electronic control unit to manage the power flow of a two-seat series hybrid electric vehicle de...

Plug-in hybrid electric vehicles (PHEVs) have demonstrated the potential to significantly increase fuel economy. However, the overall efficiency of the powertrain system of any Hybrid Electric Vehicle (HEV) depends on the vehicle-level control strategy. To optimize the energy flow, a global optimization algorithm, based on the Bellman principle, was used to generate the most efficient operating...

Mild hybrid electric vehicles (HEVs) take some benefits of full HEVs while having lower initial cost and weight, making them a more viable proposition for OEMs looking to enter the hybrid market. The popularization of mild hybrid electric vehicles (HEV) has exposed a new research potential in hybrid energy management. The optimal control of fuel economy in such a configuration is hard to achiev...

The Hybrid Electric Vehicle Team of Virginia Tech (HEVT) is participating in the 2009 – 2011 EcoCAR: The NeXt Challenge Advanced Vehicle Technology Competition series organized by Argonne National Lab (ANL), and sponsored by General Motors Corporation (GM) and the U.S. Department of Energy (DOE). The goal of EcoCAR is for student engineers to take a GM-donated crossover SUV and reengineer it to...

Plug-in hybrid electric vehicles (PHEVs) are hybrid electric vehicles that can be fueled from both conventional liquid fuels and grid electricity. To represent the total contribution of both of these fuels to the operation, energy use, and environmental impacts of PHEVs, researchers have developed the concept of the utility factor. As standardized in documents such as SAE J1711 and SAE J2841, t...