Abstract-Current automotive electromagnetic compatibility (EMC) standards do not discuss the effect of the driving profile on real traffic vehicular radiated emissions. This paper describes a modeling methodology to evaluate the radiated electromagnetic emissions of electric motorcycles in terms of the driving profile signals such as the vehicle velocity remotely controlled by means of a CAN bus. A time domain EMI measurement system has been used to measure the temporal evolution of the radiated emissions in a semi-anechoic chamber. The CAN bus noise has been reduced by means of adaptive frequency domain cancellation techniques. Experimental results demonstrate that there is a temporal relationship between the motorcycle velocity and the radiated emission power in some specific frequency ranges. A Multilayer Perceptron (MLP) neural model has been developed to estimate the radiated emissions power in terms of the motorcycle velocity. Details of the training and testing of the developed neural estimator are described.
This paper presents the concept and initial test results of an inductive lane design capable of dynamic and wirelessly transfer power to electric bicycles (e-bikes). On the lane side, a sequence of oblong primary coils embedded underneath ground surface, along the vehicle path, can be independently excited by high frequency alternating current. The oscillating magnetic field of each primary coil is individually enabled when a Radio Frequency Identification (RFID) tag on board of the e-bike is detected and authenticated by an auxiliary coil laying close to that primary coil. On the ebike, energy for the powertrain is harvested from the lane by a secondary coil that is installed around its rear wheel. When the e-bike is moving over inter-coil gaps, or anywhere away from the inductive lane, on-board power is sustained with the excess energy stored during transits over energized coils. Preliminary results from a prototyped module demonstrate the feasibility of the system, which could also be used by similarly adapted lightweight electric vehicles, such as rickshaws, electric wheel chairs and other electric personal mobility devices, favoring a new, low cost, sustainable urban modal variant.
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