PROJECT TITLE :
Design, Control, and Validation of a Charge-Sustaining Parallel Hybrid Bicycle
Traffic congestion, energy, and environmental concerns are boosting the interest for light electric vehicles. Electrically power-assisted cycles (EPACs) have nice potential: they are cost effective, safe, easy to use, and have a little footprint. The 2 biggest disadvantages affecting EPACs are the need to recharge them and the added weight to the bicycle. To address these issues, a novel hybrid electrical bike is presented. This contribution represents the first complete instance of a real-time electric bicycle–human body synergic management. The thought is to recover energy from the cyclist when she is best and return it during low-efficiency pedaling. A control-oriented analysis of the cyclist’s metabolic efficiency is applied to guide the design of the control algorithm. Three features are utilized for this purpose: an unplanned-defined equivalent cycling efficiency based on oxygen consumption, a dynamic model for the state of fatigue (SoF), and heart rate (HR) measurements. The analysis of the equivalent cycling potency and SoF dynamics guide the look of a charge-sustaining assistance algorithm. The algorithm is designed and tuned through simulations. The proposed system is tested on subjects, and it is shown that it is capable of maintaining the battery charge; additional tests indicate that enhancements up to twenty five% in equivalent cycling potency and reduction in peak HR and SoF will be achieved for urban cycling.
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