Multi-objective optimization of a dual mass flywheel with centrifugal pendulum vibration absorbers in a single-shaft parallel hybrid electric vehicle powertrain for torsional vibration reduction

• Published in: Mechanical systems and signal processing 2022-01, Vol.163, p.108152, Article 108152
• Main Authors: Lee, Hyung Joon, Shim, Jae Kyung
• Format: Article
• Language: English
• Subjects: Absorbers; Acceleration; Automatic transmissions; Centrifugal pendulum vibration absorber (CPVA); Cylinder liners; Design parameters; Dual mass flywheel (DMF); Electric motors; Electric vehicles; Flywheels; Gas pressure; Genetic algorithms; Hybrid electric vehicles; Moments of inertia; Multi-objective Genetic Algorithm; Multibody dynamics; Multibody systems; Multiple objective analysis; Optimization; Pareto optimization; Pareto optimum; Pendulums; Powertrain; Single-shaft parallel hybrid electric vehicle (HEV) powertrain; Torsional vibration; Transient analysis; Transient response; Vibration; Vibration control
• ISSN: 0888-3270; 1096-1216
• DOI: 10.1016/j.ymssp.2021.108152

•Modeling of a single-shaft parallel hybrid powertrain for dynamic analysis.•The input of the powertrain model is the gas pressure given by a gas pressure map.•Optimization of dual mass flywheel and centrifugal pendulum vibration absorbers.•A multi-objective optimization based on the transient analysis of the model.•The Pareto fronts yield reduced torsional vibration and the inertia of the device. This research deals with an optimization of a dual mass flywheel (DMF) with centrifugal pendulum vibration absorbers (CPVAs) used in a single-shaft parallel hybrid electric vehicle (HEV) powertrain for the reduction of the torsional vibration at the rotor of the electric motor and the total moment of inertia of the DMF and CPVAs. Unlike the previous studies, this research considers the overall behavior of an entire powertrain with an in-line four-cylinder engine and a five-speed automatic transmission for the optimization of the DMF with CPVAs. For this purpose, the multibody dynamics model of the HEV powertrain is constructed and used to analyze the transient response of the system for a given gas pressure map and acceleration condition of the vehicle. Then, a multi-objective genetic algorithm is applied to determine the Pareto optimal front that yields the design parameter values of the DMF and CPVAs effective in the torsional vibration reduction and inertia minimization. The result of the optimization is compared with the HEV powertrain system with a flywheel only, and shows that the vibrations transmitted to the motor are significantly reduced in all the solutions of the Pareto front. By using the method proposed in this research, various parameter combinations of the DMF and CPVAs can be considered in the early design process.