Waqas Hussain

Energy management algorithms play a critical role in improving the energy efficiency of modern electric vehicles. In order to be desirable for the customer, electric vehicles should be capable of long distance driving on a single battery charge with a range which must be comparable to the values of their conventional counterparts. To achieve this goal, both the use of large-capacity battery and the development of a custom energy management algorithm are necessary. Thus, one must solve equations of vehicle dynamics, which is a part of conventional methods used in generalized energy management problems. In this paper, a Monte Carlo method is proposed for probabilistic prediction of the optimum energy to attain a given route. The route in question is obtained from the Google Maps and includes locations and road topologies. First, optimum speed set-points are generated for each state of the journey, and this generated speed array is imported into the vehicle control system to generate t...

ABSTRACT Owners of industries traveling around the world need some system from where they can monitor and keep control of their industry remotely. Speedily advancing software technologies have made it possible to develop a new generation of Supervisory Control and Data-Acquisition (SCADA) system. This generation of SCADA is known as PROPOSED SCADA SYSTEMS. This paper present a concept of how industrial and commercial areas can be monitored and controlled via SCADA system from anywhere in the world on supported portable devices. Through Remote access of SCADA, the Remote Desktop Protocol (ROP) brings SCADA real-time and passes information to users. The presented solution provides reduced software costs while improving reliability. The system also allows Open Process Control (OPC) linkage between the controller and SCADA systems. An additional monitoring approach in this system is lP CAMERAS based online visual monitoring. Life videos of the industry and commercial area can be viewed from anywhere in the globe on the portable devices. The proposed concept is simulated on two prototype industrial plants 1) An automated Car Wash System and 2) Load Cell based luggage segregation. Proposed system was tested on simulator and show remarkable results.

This work has been supported by TÜBİTAK 1003 project no. 115E097 and its subprojects no. 115E122 and 115E127. M. Ali Gözüküçük is the manager of 115E097 (main project). On the other hand, Aykut Kılıç and Hakan Temeltaş are respectively the manager and researcher of 115E122, while H. Fatih Uğurdağ and Waqas Hussain are respectively the manager and research assistant of 115E127. Hardware-In-the-Loop Validation of Vehicle Control Loops

Energy management algorithms play a critical role in improving the energy efficiency of modern electric vehicles. In order to be desirable for the customer, electric vehicles should be capable of long distance driving on a single battery charge with a range which must be comparable to the values of their conventional counterparts. To achieve this goal, both the use of large-capacity battery and the development of a custom energy management algorithm are necessary. Thus, one must solve equations of vehicle dynamics, which is a part of conventional methods used in generalized energy management problems. In this paper, a Monte Carlo method is proposed for probabilistic prediction of the optimum energy to attain a given route. The route in question is obtained from the Google Maps and includes locations and road topologies. First, optimum speed set-points are generated for each state of the journey, and this generated speed array is imported into the vehicle control system to generate the required torque for vehicle propulsion. Then, this process is repeated with a constant average speed for comparison purposes. The simulation results show that an electric vehicle gains significant energy efficiency over a Hardware in the Loop (HIL) emulation, when it is being controlled with the proposed speed set-points generated by the Monte Carlo method.

This paper presents the implementation of an IEEE standard-based Visible Light Communication (VLC) system using software defined radio (SDR) approach. Based on widely used SDR platform Universal Software Radio Peripheral (USRP) and visual programming language LabVIEW, we present a fully standard compliant implementation of all PHY I modes of the IEEE 802.15.7 standard. Rest of the equipments used in the experimental set-up are low cost and commercial off-the-shelf devices. We successfully demonstrate audio streaming through our software defined VLC system, which can transmit and receive data successfully up to 2 meters. We also present bit error rate results of all PHY I modes of IEEE 802.15.7 running on our VLC system, which operates at a distance of 1 meter.