Professor Huei Peng and his research group have made excellent advances in hybrid electric vehicle (HEV) and automated vehicle technologies.
Peng's team developed an automated modeling methodology that searches designs to identify the optimal configuration and component size for a power-split hybrid powertrain system. In contrast to the conventional approach, they systematically searched through all possible designs, sometimes hundreds of millions of them, to identify dozens of potential designs.
Existing automated vehicle evaluation methods include field tests and Monte Carlo simulations, neither of which enables the investigator, statistically, to bypass the many miles driven without incident to get to the events of interest. Peng and former graduate student Ding Zhao, who now serves as an assistant research scientist in the U-M ME department, have developed a methodology that does, known as accelerated evaluation.
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