In this paper, the authors present an overview of the available commercial photovoltaic (PV) module options for powering onboard vehicle applications. The authors used two decision-making methodologies to determine the evaluation factors and the decision-making criteria necessary for assessing the suitability of a particular PV module type. In both the analytical hierarchy process (AHP) and the fuzzy axiomatic design (AD), the authors used at the input stage quality function deployment (QFD) to determine customer requirements for a vehicle with PV module capabilities. This approach is innovative in that evaluation depended upon data collected from PV manufacturers’ datasheets. This approach is novel in that: 1) the AHP and fuzzy AD processes were used as decision-making methodologies to select the optimum PV module type to power a vehicle; 2) the QFD and AHP hybrid approaches were compared with the QFD and fuzzy AD hybrid approaches; and, 3) commercial PV market data, not from experts, were used for comparison, as in traditional research. A benchmark of both approaches determined differing results if the evaluation was conducted with both methods using identical data with different natures (i.e., precise versus fuzzy). Results showed that for onboard vehicle applications, the most suitable PV module option was mono-crystalline silicon and the least suitable option was cadmium telluride.