A technology optimization process for heavy hybrid electric vehicle systems using computational models

We have developed a computer-based technology optimization process to define vehicle systems that meet specified goals and constraints using a minimum amount of resources. The process is built around answering three questions: Where are we now? Where do we want to go? And what is the best way to get there? A technical target setting algorithm helps answer the last question. The target setting algorithm uses computational models that predict system responses for various combinations of technology attributes, quantitatively defined requirements and goals, and relationships between improvements in technology attributes and resource requirements. The algorithm yields the mix of technologies that achieve overall program and vehicle goals using a minimum amount of resources. This process was developed for and applied to the U.S. Department of Energy's Advanced Heavy Hybrid Propulsion Systems activity. In this paper, we describe the technology optimization process, with a focus on technical target setting, and illustrate its use with a simple example.