When designing headlights using optical software LightTools, we found that the maximum illuminance and facula diameter of the initial headlamp lighting system design were less than 20000 lux (maximum illuminance) and 40mm (facula diameter), which did not meet the minimum performance requirements. However, if we increase the maximum illuminance value, the facula diameter value will become smaller and may not meet the minimum performance requirements. In order to obtain the best value of maximum illuminance and facula diameter at the same time, we used a multi-objective optimization method (combination of Taguchi method and robust multiple criterion optimization approach (RMCO)) to solve maximum illuminance and facula diameter optimization problem. It is effective and helpful increase the maximum illuminance and facula diameter of the headlamp lighting system (The maximum illuminance increased from 9580 lux to 22900 lux, the facula diameter increased from 40mm to 50mm). In this method, the concept of statistical analysis is used to obtain a set of diversified Pareto-optimal solutions. The set of diversified Pareto-optimal solutions can obtain for energy optimized design of headlamp lighting system. This study is the first attempt to use the RMCO method to optimize the multi-objective problem in a headlamp lighting system.
|期刊||Journal of Physics: Conference Series|
|出版狀態||Published - 2022|
|事件||2022 International Conference on Computer Modelling and Big Data Analytics, CMBDA 2022 - Wuhan, China|
持續時間: 30 6月 2022 → 2 7月 2022