Online Energy Management of City Cars with Multi-Objective Linear Parameter-Varying L2-Gain Control

• Main Authors: Boe-Shong Hong, Mei-Hung Wu
• Format: Article
• Language: English
• Published: MDPI AG 2015-09-01
• Series: Energies
• Subjects: multi-objective L2-gain control; electric vehicles energy management; linear parameter-varying (LPV) systems; observer-based control
• Online Access: http://www.mdpi.com/1996-1073/8/9/9992

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.