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Making Travel Faster, Safer and more Energy Efficient

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Published on Wednesday, 26 July 2017

More and more manufacturers are producing electric cars with cruise control technology. While it is quite comfortable to have the car accelerate and brake on its own, it doesn’t do so in an economic way, sometimes wasting precious energy resources.

Seeking smart solutions, SnT’s Amin Sajadi Alamdari recently won the Best Student Paper Award at the 2017 IEEE International Conference on Vehicular Electronics and Safety. His paper, titled "Fast Stochastic Non-linear Model Predictive Control for Electric Vehicles’ Advanced Driver Assistance Systems" addresses the challenge of the limited cruising range of e-cars.

You could boost electric vehicles’ driving range in a number of ways. A larger battery would yield more resources, but it would also make the car heavier. Developing lightweight battery technology is another option, but we’re not quite there yet. Instead, Amin’s focusing on using the car’s battery in a smart way.

Semi-autonomous driver assistance systems can improve safety and efficiency of battery-powered electric vehicles. Amin’s paper presents an ecologically advanced driver-assistance system aimed at extending the functionality of the adaptive cruise control system. To perfect cruise control, he is focusing on different techniques: taking advantage of gravity, finding the optimum speed for entering curves and speed zones, and adapting to the behaviour of the preceding car.

All of this magic works thanks to a radar mounted to the front of the car powered with the researcher’s algorithm.

“The work we’ve done so far has shown promising results based on some early analysis and distribution functions,” says Amin. “Additionally, we also evaluated the results of a battery-powered electric vehicle with real world scenarios to validate state regulations, constraint fulfilment, and energy efficiency.”

The native Iranian has been hooked on cars and computers for as long as he can remember. After completing his Bachelor’s at Shomal University and Master’s at Azad Islamic University in Iran, Amin worked as a teaching assistant at the Science and Research Branch of his alma mater. In 2014, he joined the Automation and Robotics Research Group at SnT.

Amin is currently working on an AFR project (funded by the Luxembourg National Research Fund) named “Stochastic Model Predictive Control for Eco-Driving Assistance Systems in Electric Vehicles” (SEDAS), under the supervision of Prof. Dr. Holger Voos and Prof. Dr. Mohamed Darouach. The objective of this project is to develop a more sophisticated driver assistance system for electric vehicles that supports ecological driving. The PhD candidate is excited to pave the way for future technologies: “I am ready to take on challenges as I trust that the best opportunities in the world are the ones that we create.”

The ICVES’17 conference is an annual forum that took place this year June 2017 in Vienna, Austria and was sponsored by the IEEE Intelligent Transport Systems (ITS) Society. Its goal is to bring together researchers and practitioners to discuss research and applications with the main topics of Intelligent Vehicles, Active and Passive Safety Systems, Energy Consumption, and Driver Assistance and Warning Systems.