Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle

PROJECT TITLE :

Diagnostic Method Combining the Lookup Tables and Fault Models Applied on a Hybrid Electric Vehicle

ABSTRACT:

A common scenario in business is to store measurements for various operating points within the lookup tables, usually referred to as maps. They're utilized in several tasks, e.g., in management and estimation, and therefore considerable investments in engineering time are spent in measuring them that usually make them accurate descriptions of the fault-free system. They are therefore well suited to fault detection, however, however, such a model cannot provide fault isolation since only the fault free behavior is modeled. One way to handle this case would be additionally to map all fault cases however that may require measurements for all faulty cases, that would be pricey if in any respect doable. Instead, the most contribution here may be a technique to mix the lookup model with analytical fault models. This makes sensible use of all modeling efforts of the lookup model for the fault-free case, and combines it with fault models with reasonable modeling and calibration efforts, thus decreasing the engineering effort within the diagnosis design. The approach is exemplified by coming up with a diagnosis system monitoring the ability electronics and the electrical machine in an exceedingly hybrid electrical vehicle. An intensive simulation study clearly shows that the approach achieves each good fault detectability and isolability performance. A main point is that this can be achieved without the necessity for neither measurements of a faulty system nor detailed physical modeling, therefore saving considerable amounts of development time.

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