Comparative calibration of vehicle fuel economy for methanol range extender power generation strategies using a WAVE-RT virtual test bench
Comparative calibration of vehicle fuel economy for methanol range extender power generation strategies using a WAVE-RT virtual test bench
Xian Zhang, Geely Commercial Vehicle Research Institute
China User Conference 2026
This presentation demonstrates how to utilise the WAVE-RT virtual calibration HiL test bench for the efficient validation and optimisation of the "intelligent power generation strategy" in a methanol range-extended electric truck. By replacing real vehicle testing with high-precision models, this approach successfully achieves precise comparisons of the economic performance of different power generation strategies while shortening the R&D cycle and reducing risks. The final calibration results indicate that the optimised intelligent power generation strategy can significantly improve the methanol-to-electricity conversion efficiency under suburban driving conditions, achieving a maximum methanol consumption reduction of 6.6%. This provides effective support for the energy-efficient development of methanol range-extended commercial vehicles.
This was presented by Xian Zhang of Geely Commercial Vehicle Research Institute at the 2026 China User Conference on 20 May 2026.
Realis Simulation, formerly Ricardo Software.
