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For a series plug-in hybrid electric vehicle (PHEV), it is critical that batteries be sized to maximize vehicle performance variables, such as fuel efficiency, gasoline savings, and zero emission capability. The wide range of design choices and the cost of prototype vehicles calls for a development process to quickly and systematically determine the design characteristics of the battery pack, including its size, and vehicle-level control parameters that maximize the net present value (NPV) of a vehicle during the planning stage. Argonne National Laboratory has developed Autonomie, a modeling and simulation framework. With support from The MathWorks, Argonne has integrated an optimization algorithm and parallel computing tools to enable the aforementioned development process. This paper presents a study that utilized the development process, where the NPV is the present value of all the future expenses and savings associated with the vehicle.

In an earlier paper, the authors described how Model-Based System Engineering could be utilized to provide a virtual Hardware-in-the-Loop simulation capability, which creates a framework for the development of virtual ECU software by providing a platform upon which embedded control algorithms may be developed, tested, updated, and validated. The development of virtual ECU software is increasingly valuable in automotive control system engineering because vehicle systems are becoming more complex and tightly integrated, which requires that interactions between subsystems be evaluated during the design process. Variational analysis and robustness studies are also important and become more difficult to perform with real hardware as system complexity increases. The methodology described in this paper permits algorithm development to be performed prior to the availability of vehicle and control system hardware by providing what is essentially a virtual integration vehicle.

The operating pressure is one of the critical issues in designing a gasoline-fueled PEM fuel cell system for transportation applications. Pressurized (3atm) and atmospheric pressure (1atm) fuel cell systems are being considered by various developers for automotive applications. Systems analyses have been performed for the two systems using GCtool, a computer simulation code developed at Argonne National Laboratory. The two systems were designed for comparable overall system efficiencies at a rated design power of 50 kW. The characteristics and performance of the different components of the two systems were compared at the design power and at part-load operating conditions. Transient analyses were performed to investigate the dynamic response of the two systems during cold startup. The pros and cons of the two systems regarding their performance, size, and preliminary cost estimates are presented.