Thomas Bachle

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Thermal management for motors in electric drive trains is a pivotal issue in vehicular design. Generally, low operating temperatures of the motors are desirable in light of longevity as well as reduction in drive losses. However, this requires a significant cooling effort in form of powerful water pumps and large radiators which in turn increase air(More)
This contribution proposes a nonlinear model predictive control allocation algorithm for control of an over-actuated electric vehicle in challenging driving situations. Based on a recently published gradient-based real-time solver, the proposed scheme allows to implement a hierarchical control strategy for lateral and longitudinal control while optimally(More)
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