ITEC Battery State of Charge Estimation Contest

The competitors will be challenged to create the best performing electric vehicle battery state of charge estimation algorithm. To develop the algorithm, teams will be provided with a high-quality dataset consisting of Liion battery characterization and drive cycle test data over a wide range of temperatures. Throughout the competition, teams can submit their algorithms in MATLAB script format via an electronic portal. The algorithms will be tested automatically using a set of data which the competitors are blind to, and the error for each test case will be reported back. This blinded Security Operations Centre (SOC) estimation development approach allows for a fair comparison of the submitted algorithms. The winner of the competition will be selected primarily based on quantitative performance metrics. Algorithms do not need to be new or unique. Teams are encouraged to use algorithms from their current or prior research and from the literature, as much of the effort is in the algorithm implementation and tuning / training.

For further information, please refer to the ITEC Battery State of Charge Estimation Contest website.