Online energy management of city cars with multi-objective linear parameter-varying L2-gain control

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Abstract

This work aims at online regulating transient current out of the batteries of small-sized electric cars that transport people and goods around cities. In a city with heavy traffic, transient current dominates the energy economy and propulsion capability, which are in opposition to each other. In order to manage the trade-off between energy consumption per distance and propulsion capability in transience, the authors improve on previous work on multi-objective linear parameter-varying (LPV) L2-gain control. The observer embedded into this multi-objective controller no longer assumes Kalman-filtering structure, and structural conservatism is thus removed. A full-spectrum set of experiments is performed. The results reveal that the feedback design significantly improves energy-motion management.

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Hong, B. S., & Wu, M. H. (2015). Online energy management of city cars with multi-objective linear parameter-varying L2-gain control. Energies, 8(9), 9992–10016. https://doi.org/10.3390/en8099992

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