Flexible solar panels are widely applied in building integration and mobile energy systems due to their lightweight and bendable characteristics, but limitations in thermal dissipation and structural stability restrict operational efficiency. A finite element model considering thermo structural coupling effects was established and its reliability was verified through experimental data. A multiobjective optimization strategy combining response surface methodology and the nondominated sorting genetic algorithm was employed to optimize the geometric and material parameters of corrugated aluminum foil backsheets. Corrugation height, width, spacing, thickness, and aluminum foil thermal conductivity were found to significantly influence the maximum temperature, displacement, and mass of the module. Optimal thermal‐mechanical performance was achieved when aluminum foil thermal conductivity ranged from 130 to 150 W/(m·K) and thickness ranged from 0.135 to 0.25 mm. Strong nonlinear interactions among corrugation parameters were identified, and moderate combinations of spacing and thickness improved heat dissipation efficiency and structural stability. The proposed thermo structural coupling optimization framework and multiobjective design strategy can be extended to flexible photovoltaic backsheet design and other complex engineering systems involving multiphysics coupling including thermal, mechanical, and electrical fields, providing a general approach for integrated composite structure optimization.
Liu et al. (Fri,) studied this question.