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

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 ord...

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Bibliographic Details
Main Authors: Boe-Shong Hong, Mei-Hung Wu
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/8/9/9992
Description
Summary: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.
ISSN:1996-1073