Reliability Optimization of an Automotive Car Braking System Using Genetic Algorithm
Vikramjeet Singh, Neel Kumari, Monika Rani, S. Malik
Abstract
Ensuring the reliability of automotive braking systems is crucial for vehicle safety. Here, we have considered a
car's braking system consist of two subsystems, i.e. fluid braking and mechanical braking subsystem. Both
subsystems work in parallel. The fluid braking subsystem includes a master cylinder unit and a wheel braking
unit connected in series. The master cylinder is a single component, while the wheel braking unit has a parallel-
series configuration of order (4, 2). The mechanical braking subsystem comprises a cable unit, functioning as a
single component and a brake pad unit with two brake pads arranged in parallel providing redundancy for this
critical component. The logic diagram technique is used to determine the reliability of the system. The reliability
and Mean Time to System Failure expressions are derived for both identical and non-identical components with
component failure rates following Rayleigh failure laws. The sensitivity analysis has been carried out to
examine how the variations in the parameter values of the components impact the overall performance of the
system. To optimize the reliability of the system, we applied the genetic algorithm. This study provides theory
to give useful ideas that can help make cars safer and reliable leading to satisfied customers.
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