Oliver Wallscheid

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Interior permanent magnet synchronous motors (IPMSM) are preferentially chosen as traction drives for electric vehicles due to their high power and torque density. In a field-oriented control scheme an operation point selection strategy is required to choose appropriate current set points to generate the requested torque with high precision and optimal(More)
A lumped-parameter thermal network (LPTN) for a permanent magnet motor (PMSM) is developed to estimate the most crucial motor temperatures. In this contribution a 60 kW PMSM prototype designed for automotive traction drives is used as the investigation basis. Aiming at real-time motor monitoring well-known analytic equations from the heat transfer theory(More)
In this paper an enhanced method to determine the rotor temperature of permanent magnet synchronous machines during dynamic operations is presented. The approach is based on a fundamental wave flux observer and is therefore independent of coolant conditions to a large extend. This contribution continues the work presented earlier, where the temperature(More)
In automotive traction applications the interior permanent magnet synchronous motor (IPMSM) is preferentially chosen as traction drive due to its high torque and power densities. In drive trains of electrical vehicles (EV) and most hybrid electrical vehicles (HEV) the traction motor is operated in torque controlled mode. In a field-oriented control scheme(More)
The permanent magnet synchronous motor (PMSM) is widely used in highly utilised automotive traction drives and other industrial applications. With regards to the device life-time, safe operation and control performance, the magnet temperature is of great interest. Since a direct magnet temperature measurement is not feasible in most cases, this contribution(More)
Monitoring critical temperatures in permanent magnet synchronous motors (PMSM) is essential to prevent device failures or excessive motor life-time reduction due to thermal stress. A lumped-parameter thermal network (LPTN) consisting of four nodes is designed to model the most important motor parts, i.e., the stator yoke, stator winding, stator teeth, and(More)
Monitoring critical temperatures in permanent magnet synchronous motors (PMSM) is essential to prevent device failures or excessive motor life time reduction due to thermal stress. A lumped parameter thermal network (LPTN) consisting of four nodes is designed to model the most important motor parts, i.e. the stator yoke, stator winding, stator teeth and the(More)
Interior permanent-magnet synchronous motors (IPMSM) are widely used as automobile traction drives for electric and hybrid electric vehicles. Since motor control is commonly implemented on a digital platform, a discrete-time motor model is needed. With respect to the calculation effort the discretization is usually done via a first-order explicit Euler(More)
Estimating the magnet temperature of permanent-magnet synchronous motors on a model basis is the key for both the highest device utilization and preventing irreversible demagnetization. Using an exact flux linkage observer in the fundamental wave domain is an elegant way to indirectly retrieve the magnet temperature without requiring any additional sensors(More)
Typically traction and electronic stability programs (ESP) as well as drive train oscillation damping applications in electrical vehicles are realized in a cascaded control structure with the current control as innermost loop. The current control dynamic, however, is usually varying due to nonlinear effects as controller output saturation and changing motor(More)