Clutch pressure estimation for a power-split hybrid transmission using nonlinear robust observer. (June 2018)

• Record Type: Journal Article
• Authors: Zhou, Bin; Zhang, Jianwu; Gao, Ji; Yu, Haisheng; Liu, Dong
• Is Part Of: Mechanical systems and signal processing. Volume 106(2018)
• Page Start: 249
• Page End: 264
• Publication Date: 2018-06
• Subjects: Power-split hybrid transmission -- Brake clutch -- Pressure estimation -- State observer -- Linear matrix inequality; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2018.01.001
• Languages: English
• ISSNs: 0888-3270

Abstract

Highlights: Clutch pressure nonlinear robust observer for the HEV mode transition is proposed. Optimization problems for the gain matrix selection are solved under LMI conditions. Offline simulations and online tests are performed to verify the proposed observer. Abstract: For a power-split hybrid transmission, using the brake clutch to realize the transition from electric drive mode to hybrid drive mode is an available strategy. Since the pressure information of the brake clutch is essential for the mode transition control, this research designs a nonlinear robust reduced-order observer to estimate the brake clutch pressure. Model uncertainties or disturbances are considered as additional inputs, thus the observer is designed in order that the error dynamics is input-to-state stable. The nonlinear characteristics of the system are expressed as the lookup tables in the observer. Moreover, the gain matrix of the observer is solved by two optimization procedures under the constraints of the linear matrix inequalities. The proposed observer is validated by offline simulation and online test, the results have shown that the observer achieves significant performance during the mode transition, as the estimation error is within a reasonable range, more importantly, it is asymptotically stable.