Conference registration is not necessary to participate in the student contests

Winning teams will receive, in addition to a cash prize, one free registration if they would like to attend the conference.

2022 IEEE/AIAA ITEC+EATS Aerospace Student Design Challenge

Letter of Intent to Participate Due:

March 11, 2022

The IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium (ITEC+EATS) invites you to participate in the 2022 ITEC+EATS Student Design Challenge. Stimulated by ambitious emission reduction goals established by our modern society due to the climate, radical technologies and revolutionary design approaches are required for the future aviation sector. One way to achieve these goals resides in increased electrification of aircraft. As one future promising technology, advanced battery systems have been identified as one of the solutions for this electrification. However, the aviation sector has requirements for large amounts of electrical power at high voltage (up to megawatts) for such airborne applications.

Because of the severe weight and volume constraints imposed on any aircraft design and stringent reliability and safety requirements, the design of a high-voltage/high power distribution propulsion system for zero-emission aircraft needs a careful examination. Such skills are now essential to engineers who design aircraft of the future.

Challenge:

The aim of the Student Design Challenge 2022 is to trigger increased awareness in design towards managing phenomena linked to high voltage. The main goal is to design a high-voltage/high-power distribution propulsion system for a 4 E-motor full-electric aircraft. The entry into service (EIS) is 2040 for a 9 PAX + 1 crew + luggage aircraft with a 260km range including a 50 km backup. The challenge includes electric distribution optimization, component sizing, safety considerations, and risks mitigation linked to phenomena like discharges or electric arcs. The objective is to have energy storage to supplement take off, climb, go-around, and emergencies via batteries and the 4 E-motors.

2022 IEEE/AIAA ITEC+EATS Battery State of Charge Estimation Student Challenge

Letter of Intent to Participate Due:

March 31, 2022

The IEEE/AIAA Transportation Electrification Conference and Electric Aircraft Technologies Symposium (ITEC+EATS) invites you to participate in the 2022 ITEC+EATS Battery State of Charge Estimation Student Challenge. To tackle the climate change crisis, ambitious emission reduction goals have been established which require radical technologies and revolutionary solutions to realize. In the transportation sector, one way to achieve these goals resides in the increased electrification of vehicles. To electrify the vehicles, advanced battery systems have been identified as a promising solution. Most of the battery states, e.g., state of charge (SOC), state of health, state of power and internal temperature, cannot be measured directly by any types of sensors; instead, they can only be estimated by models. Moreover, these states are highly affected by the load dynamics and environments, which brings more difficulty for accurate estimation. Therefore, the design of state estimation models for vehicles needs a careful examination. Such skills are now essential to engineers and researchers who will design the electrical vehicles of the future.

Challenge: 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 Li-ion 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 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.

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