A research project on the measurement of emission factors in critical driving conditions arising from a cooperation among University of Sannio, Istituto Motori of CNR, and some companies of Italian Regione Campania is started. In particular, in this paper, a procedure of automatic feature extraction and data classification of vehicle driving sequences by means of Wavelet analysis and Cultural Algorithms is proposed. The procedure improves the lack of sensitivity of the state-of-the-art statistical methods to variations of vehicles instantaneous kinematic parameters (e.g. speed, acceleration) through a simple heuristic link between vehicle speed and road traffic data.

This paper presents both hardware and software of system for measurement of welding process electric parameters.
The distinctive feature of the system is its application for control of the process of high-quality contact micro-welding of critical destination products which is characterized by the pulse current in the range from 100 A to 20kA and by the pulse duration from a few to hundreds of milliseconds. The system is portable and consists of the measuring coaxial shunt, oscillograph and computer with a software. Structure and main principles of constructing the system components are described. Its technical and metrological parameters are given.

The reactive energy meters used in electric distribution networks are based on a conventional definition of reactive energy (or power) for sinusoidal voltages and currents, containing only the fundamental frequency component. As a consequence, the performances of reactive energy meters in the presence of harmonic distortion are not tested and their accuracy specifications can be very different from the nominal ones, that are evaluated in sinusoidal conditions. In this paper the authors present a comparative study of the performances of different reactive energy meters, both electromechanical and static, in the presence of harmonic distortion; the study is supported by several simulations and experimental tests.

The paper presents the application of a differential algorithm for the “blind correction” method with respect to measuring systems where both: the measured signal and parameters of the measuring channels are varying with the same fundamental frequency. The influence of the measuring channels’ parameters on the effectiveness of correction was investigated for the polyharmonic case, using the simulation methods.

Lithium-ion (Li-ion) is the most commonly used battery chemistry in portable applications nowadays. Accurate State-of-Charge (SoC) and remaining run-time (tr) calculation for portable devices is important for the user convenience and to prolong the lifetime of batteries. A new SoC algorithm for Li-ion batteries that combines adaptivity with direct measurement and book-keeping systems has been developed and implemented in a real-time evaluation system.
In this paper the error sources in the real-time SoC evaluation system with possible calibration solutions are described. The goal of the SoC system is to predict the remaining run-time of a Li-ion battery with an uncertainty of 1 minute or better under all realistic user conditions, including a wide variety of load currents and a wide temperature range.