4.6 Article

Design of a Charge-Sustaining Energy Management System for a Free-Floating Electric Shared Bicycle

Journal

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume 30, Issue 2, Pages 654-666

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCST.2021.3071197

Keywords

Bicycles; Batteries; Energy management; Traction motors; Wheels; Vehicle dynamics; Brushless DC motors; Electrically assisted bicycles; energy optimization hybrid vehicles; human-in-the-loop control; intelligent transportation systems

Funding

  1. Zehus SpA
  2. European Union through the Funding Scheme SME-2-SME Instrument Phase 2 [756656]

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This article introduces an energy management system (EMS) designed for shared electric bicycles to provide electric assistance to cyclists while preventing battery discharging. The multilayered EMS features an inner layer managing assistance and energy harvesting, a middle layer modulating assistance levels to track average battery power, and an outer loop ensuring long-term robustness by tracking battery state-of-charge profiles. Extensive simulations and tests validate the usability and charge sustainability benefits of the approach, emphasizing the importance of cyclist profiling.
This article proposes an energy management system (EMS) for shared electric bicycles. The objective is to guarantee electric assistance to the cyclist while avoiding discharging the battery. The basic working principle exploits the cycling efficiency gaps. The proposed multilayered EMS is specifically tailored to a free-floating bike-sharing setting. The innermost layer manages the assistance and energy harvesting with the objective of yielding an intuitive human-machine interface. The middle level modulates the level of assistance so to track a desired average battery power. This is an adaptive model-based controller designed on a control-oriented model of the cyclist and bicycle energy dynamics. A cyclist profiling mechanism enables the model adaptation. The outermost loop guarantees the long-term robustness by tracking a desired battery state-of-charge profile. Extensive simulations and experimental tests validate this approach in terms of usability and charge sustenance, proving that the cyclist profiling is of paramount importance.

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