Analysis and Design of Fast Charging System with Flywheel Energy Storage Platform

This project is aiming at the design and analysis of high-performance fast charging system (FCS) to decrease charging time and reduce the high demand effect in the power grid. Besides, the target fast charging system will support transportation electrification infrastructures, maximize customer satisfaction, reduced operational costs and CO2 emissions. The analysis of the FCS system will provide resilient features to ensure minimum operation interruptions. Also, the system maximizes the charging time by protecting battery life.

Full-scale testing of a liquid cooling system for electric vehicle inverters

It is critical that on-board power electronic components of electric vehicle inverters operate within optimal temperature ranges. Failure to accomplish this results in overheating, oversizing and degradation of electronic components. Moreover, reduced efficiency and motor drive performance will have significant economical impacts on global automakers. This research will further contribute to developing a new thermal management system incorporating impinging-jet-based technology with liquid cooling, for improved heat transfer capabilities; a current prototype had been tested.

Siemens next generation land-based gas turbine engine combustors: Characterization and development of a newly-designed injection system

Siemens Canada develops land-based gas turbine engines that are used for power generation. These engines burn natural gas and produce combustion pollutants such as carbon monoxide and nitrogen oxides. Reducing emission of these pollutants addition of low carbon fuel, such as hydrogen, to natural gas. However, addition of hydrogen leads to occurrence of combustion instabilities which are of safety concern for gas turbine operation.

DL-based commercial vehicle characteristics identification, detection, and classification system

Information is everywhere, especially in the commercial vehicle industry. Vehicles may be classified by number of axles/tires. There are several text- and label-based classification systems: for dangerous goods transport (HAZMAT); vehicle safety code compliance (CVSA); and general identification and tracking (license plates, USDOT numbers). Employing humans to perform simple classification and recognition tasks can be impractical. However, explicitly programming these tasks can be challenging.

Light Weighting Structural Injection Molded Parts for the Automotive Industry

Light weighting in the automotive industry is ever becoming important. The overall objective of this research project with Axiom Group Inc. is to develop an innovative, cost-effective and industry-scale technology that can produce lightweight automotive products with good impact strengths. The project is aiming to achieve the cellular morphology to maximize weight reduction (20-30%) without sacrificing (or even while enhancing) impact properties of the product.

High Energy, RAnge extending battery for Electrical Vehicles (HERA-EV)

We can deal with the daunting challenges of depleting fossil fuels as-well-as the toxic and greenhouse gases emitted from the gasoline/diesel driven vehicles by replacing their internal combustion engine with rechargeable batteries. This project focuses on the development of an all-metal-free and biocompatible rechargeable battery system that will compete with the existing counterparts (Lithium-ion batteries, LIBs) in Electric Vehicles (EVs) currently under development.

Process modeling of compression moulding with sheet moulding compound (SMC) for automotive hollow parts

To reduce the weidht of cars in order to reduce greenhouse gas emissions, the automotive industry has recently been turning to the extensive use of composite materials for structural applications. Magna Exteriors Inc (MEI), a world leader tier 1 automotive supplier and a division of Magna International Inc, is seeking ways to develop a new high-volume manufacturing process for hollow parts using sheet moulding compound (SMC).

Auto-configuration of an autonomous farming vehicle using Machine Learning

Precision agriculture has many benefits especially for the developing world. Autonomous tractors and automatic planting systems have high accuracy, resulting in a substantially improved return on investment for growers, making food planting more economical. Moreover, the tractors can collect information on soil conditions, which can lead to improved maintenance of the crops, prevent blights, and achieve higher efficiency and higher plant food quality.

Prototype testing of a liquid cooling system for electric vehicle inverters

Thermal management of power electronic devices in an electric vehicle inverter is a critical factor influencing cost, size, efficiency and reliability of the system. Liquid cooling is a viable option; however, for peak power operation, the existing liquid cooling system must be optimized. A new impinging-jet-based liquid cooling system with enhanced heat transfer was designed and developed at the University of Windsor in collaboration with MAGNA International. Initial evaluations have shown that the new system has significant advantages over existing liquid cooling systems.

Automated Generation and Integration of AUTOSAR Memory Configurations

Automotive Open System Architecture (AUTOSAR) is a system-level standard that is used worldwide by the automotive companies and their suppliers to develop the standardized software development framework for automobiles [1]. The basic software of AUTOSAR should be configured to develop an Electronic Control Unit (ECU). The information to configure the basic software is given in an Extensible Markup Language (XML) file. Currently, these XML files are interpreted by the developer and manually entered for each configuration.