https://repository.upenn.edu/cgi/viewcontent.cgi?article=1136&context=mlab_papers

Data-driven model predictive control using random forests for building energy optimization and climate control

This paper presents the multi-sources energy models and ruled based feedback control algorithm of an
energy management system (EMS) for light electric vehicle (LEV), i.e., scooters. The multiple sources of
energy, such as a battery, fuel cell (FC) and super-capacitor (SC), EMS and power controller, DC machine
and vehicle dynamics are designed and modeled using MATLAB/SIMULINK. The developed control strategies
continuously support the EMS of the multiple sources of energy for a scooter under normal and
heavy power load conditions. The performance of the proposed system is analyzed and compared with
that of the ECE-47 test drive cycle in terms of vehicle speed and load power. The results show that the
designed vehicle’s speed and load power closely match those of the ECE-47 test driving cycle under normal
and heavy load conditions. This study’s results suggest that the proposed control algorithm provides
an efficient and feasible EMS for LEV.

Multi-sources model and control algorithm of an energy management system

Industrial information integration engineering (IIIE) is a set of foundational concepts and techniques that facilitate the industrial information integration process. In recent years, many applicat...

A Survey on Industrial Information Integration 2016–2019

Minimizing energy consumption for artificial lighting in a typical classroom of a Hellenic public school aiming for near Zero Energy Building using LED DC luminaires and daylight harvesting systems

Self-powered eye motion sensor based on triboelectric interaction and near-field electrostatic induction for wearable assistive technologies

In this work we present a high dynamic range and high efficiency energy harvesting system for low power sensors architecture. This system constitutes an autonomous device potentially showing an infinite lifelong cycle of use. The designed circuit has been conceived as a dual band architecture able to capture the largest amount of EM radiation in the urban or indoor environment, since the receiver is tuned at both GSM and WiFi frequencies. The harvester power battery loading circuitry is also available on board and guarantees the required energy for the autonomous sensor to work. The system handles an incoming power typically ranging from −20 dBm to 20 dBm and rectifies the variable input signals into a DC voltage source with a high conversion efficiency. Theoretically speaking the rectified power is greater than 50% for an incoming power between −5 dBm and 15dBm. Test measurements of the proposed system succeeded with compliant results. As a typical applications load, we have considered a commercial gas sensor, for Carbon Dioxide (CO 2 ) detection, so proving the system capability to be employed in wireless sensors networks. The whole system, designed as discrete element board, has been conceived in order to be completely integrated in a standard CMOS technology.

Dual band harvester architecture for autonomous remote sensors

A class AB active inductor with high linearity, including a minimum number of components, is presented. Class AB operation is absent from the literature on the design of active inductors but is addressed in this reported work. Circuit details are given. A prototype board on a TLX8 substrate has been fabricated and tested showing the circuit feasibility for use in many commercial market applications, as integrated circuits, or discrete filters and oscillators.

Class AB tunable active inductor

A first approach to universal daylight and occupancy control system for any lamps: Simulated case in an academic classroom

In this letter the design, fabrication and measurements of fully differential filters and buffers in a 180 nm CMOS process for direct conversion receivers (DCRs) applications are reported. The fully differential fifth and seventh order Bessel low pass filters and buffers are completely based on a differential difference amplifier with common mode feedback capability. In particular, the filters have been designed with a tunable 100 kHz---1 MHz 6 dB bandwidth, in two steps, in order to allow the DCR radio to operate with a 100 Kbit/s---1 Mbit/s data rate. The circuits operate at a 3.3 V supply voltage. The whole chip power consumption, implementing four buffers, two-fifth and two-seventh order low pass filters, is only 6 mW, being particularly suitable for portable apparatus.

Fully differential DDA-based fifth and seventh order Bessel low pass filters and buffers for DCR radio systems

Summary

In this paper, a high-Q floating active inductor (FAI), suitable for RF and microwave applications, is presented. The proposed FAI is based on two cascaded pairs of highly linear capacitance gyrators, which provide a symmetric and reciprocal structure. The proposed FAI shows fully symmetrical two-port characteristics, high quality factor and high linearity. As a feasibility demonstration, a prototype of the designed FAI has been fabricated, together with an LC series band-pass filter. At the operating frequency, the real part of the impedance of the equivalent FAI is very low (Req = 0.0039 Ω), providing a very high quality factor. The filter has a central frequency of 430 MHz and a −3 dB bandwidth of about 9 MHz. Copyright © 2014 John Wiley & Sons, Ltd.

Leonardo Pantoli

Papers

Dual band harvester architecture for autonomous remote sensors

Class AB tunable active inductor

A first approach to universal daylight and occupancy control system for any lamps: Simulated case in an academic classroom

Fully differential DDA-based fifth and seventh order Bessel low pass filters and buffers for DCR radio systems

RF and microwave high‐Q floating active inductor design and implementation