The project “Optimization of the range of electric vehicles through the implementation of an intelligent algorithm adapted to driver profiles” by CegepSI and UQAR wins the 2023 ÉDI-RQ competition

The RQEI Scientific Committee is pleased to present the project selected for the RQEI 2023 EDI Projects competition: “Optimization of the range of electric vehicles through the implementation of an intelligent algorithm adapted to driver profiles” led by Hussain Ibrahim of the Cégep de Sept-Îles (Gegepsi) in collaboration with Mehdi Adda of the Université du Québec à Rimouski (UQAR), Ambrish Chandra from the École de Technologie Supérieur (ÉTS) and Khaled Ziane (Cegepsi).

Project description:

The present project focuses on the optimization of the range of electric vehicles through an intelligent algorithm adapted to the profile of drivers, and which takes into account the status of the driver’s license, the age of the driver as well as his physical particularities (various disabilities, etc.). The algorithm will be based on driving data collected by the vehicle: speed, acceleration, braking, driver characteristics, in addition to road information and weather conditions. From this data, the algorithm will be able to understand the driver’s habits, most frequent routes, hours and driving style, all of which will optimize energy consumption and increase the vehicle’s range. EV drivers will be able to drive farther between charges, increasing their sense of confidence in using their EV. The algorithm will be able to adjust the vehicle’s performance based on driving conditions, such as the weather, vehicle charge (weight), and battery charge status, maximizing range. The algorithm will integrate real-time information about the available charging stations in the driving area, planning routes based on the different data recorded. In this way, drivers will be able to be informed in real time about the best way to optimize the range of their electric vehicle and drive more efficiently. In short, optimizing the range of electric vehicles will offer a more pleasant and environmentally friendly driving experience, thanks to an intelligent algorithm adapted to driver profiles. In addition, by increasing the range of electric vehicles, we can reduce the use of conventional vehicles and consequently greenhouse gas emissions, while contributing to the fight against climate change. By using intelligent algorithms, the energy efficiency within the vehicle will be improved, resulting in the reduction of the operating costs of the user of an electric vehicle. This innovation is a step forward in the transition to a sustainable and environmentally friendly mode of transport.

Hussein Ibrahim, Cégep de Sept-Îles, (Centre for Research and Innovation in Energy Intelligence)