kamran arshad-ali

* Responsible for fuel economy calibration of the hybrid control strategy on rear wheel drive PHEV applications * Working with emissions, software and powertrain simulation groups to calibrate an equivalent cost-based optimization strategy to realize program fuel economy targets. * Conducting data analysis of vehicle operation on EPA, EMEA & APAC drive cycles to track operational improvements and potential opportunities for CO2 reduction * Collaboration with the controls team by writing software change requests to fill the gaps between fuel economy, emissions, drivability requirements.

* Development of safety control algorithms using model based design techniques within Matlab * Interfaced with the functional safety team to understand technical safety requirements and decompose them for software development. * Wrote test cases and verified implemented software met requirements and functionality as intended in a HIL environment.

* Utilizing ANSYS Fluent, CFX and ICEM to simulate airflow around airfoil geometry in 2D/3D analysis, with compressible/incompressible flow and at multiple atmospheric conditions and air velocities. * Conducted a comparative study on the accuracy of various turbulent models available in Fluent * Used Fluent to replicate the published results of Pressure Thrust and Suction Boundary Layer Control concepts * Validated CFD resulting drag and pressure distribution calculations with available wind tunnel data

* Investigating current trends in vehicle electrification and hybrid powertrain designs * Creating Simulink models of current hybrid electric powertrain architectures to quantify their * advantages and drawbacks in terms of fuel economy, drivability, cost and other metrics. * Evaluating novel powertrain architectures using Simulink and AMESim models * Conducted a comparative 1D simulation software evaluation between Simulink, Dymola, MapleSim * and AMESim for powertrain simulation purposes

* Currently developing various hybrid and electric powertrain architecture plant models in both * Simulink and AMESim * Responsibilities include plant model and vehicle supervisory controller development, carbon fiber * component design and mentoring new team members.

* McMaster Formula Hybrid team is a team of 45 students who every year design and build an open wheel hybrid racecar to compete in competitions around the world. * Responsible for all composite FEA studies and optimization projects * Fabrication of many composite components using the vacuum infusion process * Design and optimization of ply shapes and lay-up schedule for composite components * Responsible for teaching other team members finite element analysis and computation fluid * dynamics software * Assisted in the design of the car cooling system using computation fluid dynamics

* Use vehicle level simulations to predict fuel economy, performance and emissions of electrified powertrains in a variety of applications across FCA's portfolio. * Perform architecture analysis studies to generate component level requirements and specifications from vehicle targets, considering myriad of other factors including cost, timing, packaging, regulations, etc. * Provide support to the calibration and software teams for direction on powertrain operation for on-cycle fuel economy and emissions. * Update and create models as needed for additional functionality and improvement of simulation fidelity * Facilitate model correlation to real world test results.