Predicting Reliability in Design Hybrid Cars

Reliability of a system is associated with its probability as well as the various risk factors. The probability of a system is defined by its operation and maintenance, over a period of time, without making any proper changes. For the control system of a hybrid car that works on the vibrational andmagnetic environment, high reliability must meet the executive and the security requirements of the entire system. Reliability of the substrate was noted from the various stages of designing, installation,and testing. In this paper, we reviewed the proposed methods for the designing a reliability modelsoftware. The software, in turn, would offer a hybrid car controller. The error rate and the average time between failures, was obtained with the stress analysis. After the software was tested, theevaluation was performed with G–O, J–M, and Musa methods, and Littlewood-Verrall model. Basedon the analyses, suitable results were obtained that could be further used to reduce the consumables components and the average time between failures. White box and black box testing was performedfor predicting the reliability of the software. Ultimately, the results were evaluated, and the results ofthe simulation were referred in this article. The proposed method could assist the manufacturers in achieving a reliable system.

Keywords:

control circuitry , ensuring design , error rate , hybrid car , stress analysis , software evaluation , software testing