To conserve the atmospheric environment, regulations on vehicle exhaust gas emissions have become increasingly stringent. For Light Duty Vehicles (LDVs), Real Driving Emission (RDE) assessments based on Portable Emission Measurement Systems (PEMS) have been introduced. However, the application of PEMS measurements to motorcycles presents several challenges, including reduced measurement accuracy owing to the small engine displacement and number of cylinders and increased motorcycle weight owing to PEMS installation. Therefore, an alternative evaluation method that does not rely on the PEMS is required.
In this study, we developed a Random Cycle Generator (RCG) to provide an evaluation method that can be used in a laboratory environment. The RCG enables the evaluation of driving cycles by combining different motorcycle speed patterns. It can generate arbitrary driving cycles that consider the average and upper limits of regional driving characteristics, thereby enabling accurate emission measurements to be performed in a laboratory. Thus, the RCG-based method is considered a viable alternative to the PEMS-based RDE assessment.
