In recent years, electric vehicles (EVs) have performed an increasingly significant role in contempo- rary smart cities. Among the various classes of EVs, it is reasonable to incorporate electric bicycles (e-bikes) which have encountered a fast spread in the last ten years. An e-bike is a bicycle on which an electric motor, powered through the use of rechargeable batteries, can be used for propulsion. As a consequence, the main issue related to this kind of vehicles concerns the usage of batteries related to distribution and production of the energy to power them. This paper introduces a solution based on fuzzy logic aimed at optimizing the energy management of electric bikes. The retrieved results prove that the proposed approach outperforms another method based on proportional–integral–derivative (PID) controller, significantly prolonging battery life.
A fuzzy-based Solution for Optimized Management of Energy Consumption in e-bikes
Fabio Arena;Giovanni Pau
2019-01-01
Abstract
In recent years, electric vehicles (EVs) have performed an increasingly significant role in contempo- rary smart cities. Among the various classes of EVs, it is reasonable to incorporate electric bicycles (e-bikes) which have encountered a fast spread in the last ten years. An e-bike is a bicycle on which an electric motor, powered through the use of rechargeable batteries, can be used for propulsion. As a consequence, the main issue related to this kind of vehicles concerns the usage of batteries related to distribution and production of the energy to power them. This paper introduces a solution based on fuzzy logic aimed at optimizing the energy management of electric bikes. The retrieved results prove that the proposed approach outperforms another method based on proportional–integral–derivative (PID) controller, significantly prolonging battery life.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
