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Formula Student is an international competition with student participants from over 20 different countries and over 600 universities around the world to design, test and race the formula, organized in America, Europe and Asia.
NTHU Racing, from the National Tsing Hua University in Taiwan, is one such team with sights on winning 1st place at the upcoming race in Japan. Their second EV racing car, E04, successfully won 2nd place at the 2019 FSAE Japan EV Class and ranked 21st place in the world. Long-term, the team is hoping to be the first Taiwanese team to join Formula Student Germany and go on to develop driverless cars within the next 5-10 years.
Motion control algorithms play an important role both in electrical and driverless vehicles. Unlike most mechanical parts, software algorithms often require hundreds of iterations to be completed. With this in mind, it is not feasible to test these algorithms on a full-scale vehicles with limited resources. As a solution to this issue, the team designed a 1:3 scaled-vehicle to further validate the real-time performance. Of course, in racing, a fast and precisely controlled electrical traction system is essential. maxon EC-max motors and ESCON controllers are used for wheel control, offers most of the control architecture used in motor system (both open & closed loop) and a rich set of feedback signal options, an ideal choice for academic and research applications.
“maxon is not only a motor supplier, they provide us with a complete and versatile solution for actuation and motion control.”
The team is optimistic about their future developments, including developing driverless technology, optimization of their EV racing car, and competing in more races with the help of maxon technology.
