Different types of optimization techniques compatible with fuel cell vehicles – A review.

The numerous types of optimization strategies that can be utilized for modelling and simulation of fuel cell electric cars are discussed in this research. Optimization is important in producing results that are near to real-world needs since it analyzes all of the parameters that must be considered while designing a fuel cell vehicle and making modifications or alterations. Considering the several parameters taken into account during the modelling of the fuel cell vehicle model, each approach has its own set of advantages and disadvantages. The majority of current optimization algorithms are utilized to identify the variable parameters of a fuel cell and optimize to outcomes that are near to real-world results. Fuel economy, efficiency, parameter values, and errors, such as the sum of squared error (SSE), can all be listed as priorities. Finally the paper compares the different types based on results of each technique for its relevance in fuel cell technology. Out of the twelve optimization techniques mentioned in the paper, it is found that Grey Wolf and Whale optimizations were found to be advantageous considering its use in fuel cell technology and optimization based on the different research papers studied in this paper. [ABSTRACT FROM AUTHOR]