Optimum fuzzy logic controller applied to a hybrid hydraulic vehicle to minimize fuel consumption and emissions

作者：

Highlights：

• Combination of the hybrid hydraulic architecture and optimized fuzzy logic control.

• Multi-objective optimization of the hydraulic drivetrain and engine fuzzy control.

• Decrease of 35.67% fuel, 13.07% HC, 10.55% CO, and 4.74% NOx under FTP-72 cycle.

• Fuel savings up to 43% with lower levels of tailpipe emissions in real word cycles.

摘要

•Combination of the hybrid hydraulic architecture and optimized fuzzy logic control.•Multi-objective optimization of the hydraulic drivetrain and engine fuzzy control.•Decrease of 35.67% fuel, 13.07% HC, 10.55% CO, and 4.74% NOx under FTP-72 cycle.•Fuel savings up to 43% with lower levels of tailpipe emissions in real word cycles.

论文关键词：Hydraulic hybrid vehicles,Fuzzy logic control,Fuel economy,Engine emissions,Multi-objective optimization

论文评审过程：Received 21 October 2021, Revised 19 May 2022, Accepted 15 June 2022, Available online 22 June 2022, Version of Record 30 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117903