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Inter-turn stator short circuits can develop quickly leading to serious damage of an electric machine. However, degradation mechanisms of winding insulation are not yet fully understood. The main contribution of this article is analysis of the impact of thermal ageing on the electrical properties of winding insulation. The insulation samples have been aged thermally at 200–275 °C and for 100–1600...
The electric motor is the electric vehicle's heart. It is crucial that any occurring faults are detected promptly so that a catastrophic failure is avoided. At the same time, a deep knowledge of the degradation mechanisms is required to allow maximum performance at minimum cost. This paper focuses on this balance. Statistical results from measurements of unaged and accelerated aged winding insulation...
The battery management system of a hybrid electric vehicle requires a computationally simple yet accurate model of the battery. In this paper a reduced order battery model is developed using a stochastic top-down approach. Firstly a pseudo-2D, multi-particle electrochemical model, considered as a surrogate for the real system, is used to obtain the observational data. Then the model structure is inferred...
The influence of temperature conditions on electric machine models is not well understood. This paper investigates modelling the temperature dependence of equivalent circuit parameters. Experiments have been performed on an induction machine to characterise its impedance response (up to 10 MHz) over the temperature range (22.4–210) °C. Using these measurements non-linear parameter estimation is performed...
The paper focuses on modelling and system identification of an air handling unit (AHU), which is part of larger heating ventilation and air conditioning (HVAC) system dedicated for clean room manufacturing. The aim is to use the model for subsequent control optimisation and further for control system design. The underlying physical relations of an AHU are investigated through a white-box model. Based...
This paper presents a novel approach to the problem of unknown input estimation of multiple-input multiple-output systems. In the setup considered the measured output signals are affected by white zero-mean Gaussian measurement noise. The observer developed here is based on the parity equations concept and the Lagrange multiplier method is used to obtain an analytical solution for the filter parameters,...
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