Optimal design of a high-power friction brake based on improved genetic algorithm

For the emergency braking of a large-capacity inertia flywheel energy storage system, this paper refers to a rapid braking scheme based on the friction brake. However, its difficulty lies in the design of a high power brake, which includes temperature, volume, power and so on. The present multi-objective optimization algorithm is not available for engineers due to its complicated design, much difficulty in implementation, and time-consuming calculation. Therefore, this paper has proposed an improved genetic algorithm to solve multiple constraints, which can be changed into a problem of common constraint. Moreover the algorithm is convenient for designers because of its ideal convergence, universality and flexibility. The prototype testing proves the braking scheme of the large-capacity flywheel energy storage system to be feasible and the optimized algorithm for the friction brake to be effective, which can play a certain guiding role in engineering practice.