Trends such as downsizing and downspeeding of internal combustion engines (ICE) shift the excitation spectrum automotive powertrains by ICE torque leading to demanding requirements for passive vibration reduction measures. Hybrid electric vehicles (HEV) offer a possibility implement active using traction machine (ETM). This paper proposes model predictive controller (MPC) plug-in parallel HEV powertrain with downsized 2-cylinder engine. Both time frequency domain variants have been...

This paper proposes a method for the compensation of harmonic disturbances with parametrically varying frequencies linear time-invariant (LTI) plants. Torsional oscillations arising from cyclic irregularity is an inherent problem internal combustion engine (ICE) powered automotive powertrains. The ICE due to its process generates periodic whose frequency varies operating speed. Furthermore, amplitude oscillatory torque depends on demanded set-point and speed operation. objective controller...

Model predictive control (MPC) based approaches are being increasingly employed for solving the Energy Management (EM) problem of Plug-In Hybrid Electric Vehicles (PHEV). uncertainty, un-modelled disturbances and uncertainties due to driver behavior in real-world driving necessitate that extend nominal MPC. This paper proposes a MPC approach modeling future power demand using Markov Chain (MC) employing an Explicit (EMPC) algorithm solve resulting finite-time horizon constrained optimal...

Optimal control methods are being employed to solve the energy management problem between convertors of hybrid automotive power trains. The focus thereby was on application or extensions Pontryagin minimum principle and/or Hamilton-Jacobi-Bellman theory This paper approaches it as a trajectory optimization relying predictive information within limited time horizon and solves by applying direct optimal in simultaneous discretization framework. In case parallel configuration, consumption...

Energy Management (EM) strategy relying on online optimization is proposed for Plug-in Hybrid Electric Vehicle (PHEV). The implementation based Model Predictive Control (MPC) and can account varying driving conditions. EM problem solved by iterative of an objective function over the constrainted feasible region, formulated as a Second Order Cone Problem (SOCP). relies predictive information about future conditions within limited time horizon. adapts its functionality situation-aware...

Fault diagnosis in rotating machines have been attempted by researchers with many different techniques. The common fault occurring a rotor system is the unbalance. Different techniques exist to determine their magnitude and location circumferential axial direction. In this paper, an attempt made identify locate unbalance faults on using Unknown Input Observer (UIO). Its matrices are constructed two methods, first classical method solving algebraic Riccatti equations other set of Linear...

Recent advances in autonomous driving and vehicle connectivity help to ensure safety comfort various conditions. These trends have widenened the system boundary conditions for hybrid powertrain operation with trajectory planning hence offering potential improve operational efficiency. This paper presents an energy management (EM) controller a plug-in exploiting predicted velocity together its integration both longitudinal guidance driver-aware scenarios. The scenario uses Markov chain based...