This project implements a prototype knowledge based expert assistant to aid in mitigating electromagnetic interference (EMI) from hybrid electric vehicles (HEVs). The concept evolved from a broad investigation of HEV architectures, EMI causes, and corrective actions during Phase I. The expert assistance includes cost, risk, and programmatic factors to provide prioritized recommendations and accompanying rationale to reduce EMI. The system, termed a Risk Model, is a practical approach to capture and deliver HEV EMI mitigation aid to designers, program managers, operators, and maintainers. The Risk Model is useful in early stages of conceptual design through fault localization and corrective action after production and fielding. The project includes the collection of detail electromagnetic environment effects (EEE) data for HEVs, both before and after corrective actions, to provide verification of mitigation techniques. The Risk Model provides diagnostic assistance for EMI localization. It provides cost and EEE prognostics for different mitigation techniques.
Benefits: Hybrid electric vehicles have advantages of lower operating cost, reduced air pollution, and benefits of available electric power for many applications. They are also a potential source of serious interference problems that may prevent their widespread use because of costs of mitigation. The Risk Model will help quantify the costs benefits relations of various mitigation actions, which will reduce overall costs and enable a faster rate of introduction of hybrid electric vehicles. The Risk Model will leverage investments aimed at promoting the use of hybrid technology for fuel economy and reduced air pollution. It will also reduce maintenance costs.
