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Development of energy efficient battery electric car for Shell Eco Marathon Competition - Qatar University experience
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Advances in Robotics & Automation

ISSN: 2168-9695

Open Access

Development of energy efficient battery electric car for Shell Eco Marathon Competition - Qatar University experience


World Congress on Industrial Automation

July 20-22, 2015 San Francisco, USA

Ajad Hossain Howlader, Noor Alam Chowdhury, Mazen Mohammad Kamel Faiter, Farid Touati, and Mohieddine Amor Benammar

Posters-Accepted Abstracts: Adv Robot Autom

Abstract :

The paper reports on the participation of Electrical Engineering students of Qatar University students in Shell Eco Marathon (SEM) competition, which aims at designing and racing energy efficient vehicles. This participation has multiple objectives both for improving student technical and soft skills. Details of the design of a three-wheel car for SEM Asia 2014 race in Manila are given. Additionally, a dedicated computer-controlled test bench is developed for testing and optimizing the car design, and for training the drivers for optimum driving strategy that minimizes energy consumption. The process of car and test bench design has gone through various phases of study, modeling and simulation, optimization, and testing. Both mechanical and electrical parts of the test bench as well as the car are designed in-house. The design has to meet SEM technical and safety requirement, which guided the team till the ultimate design. The testing was done on the designed car, which was shipped to Manila/Philippines to participate in the SEM Asia 2014 competition February 3-9, 2014 in Manila. In Manila, the team planned to record so many data from different runs with different driving strategies on the real track circuit. These data will be compared to those that will be obtained using the designed test bench for same conditions for further tuning and improvement of the car model and car design.

Google Scholar citation report
Citations: 1275

Advances in Robotics & Automation received 1275 citations as per Google Scholar report

Advances in Robotics & Automation peer review process verified at publons

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