In order to gain better insight into the preferences and behaviors of drivers when they interact with Advanced Driving Assistance Systems (ADAS), Subaru would like to collect naturalistic data from drivers. Students on the Subaru team will design and execute a complete data collection system in a test vehicle provided by Subaru that acquires and stores data including video, vehicle accelerometer, and location data for analysis at a later date.
The current after-market automotive rear seat entertainment tablet headrest mounting solutions aren’t very aesthetically pleasing and they lack integrated inductive charging. The students on the Alps Alpine team will design and prototype an aesthetically pleasing solution that has wireless inductive charging integrated into it so the tablet will charge while connected to the headrest mount.
The impact to critical electrical connectivity of automotive wire harnesses after thermal exposure is currently evaluated with costly and time-consuming physical testing. Students will research, develop, and design a virtual simulation for the wire and terminal connection to determine its pull strength performance and resulting circuit resistance delta readings prior and after undergoing high temperature degradation cycles.
Honda Research and Development is leading advancements in the area of mobility, power units, energy, and robotics. The students on the Honda team will work to develop simultaneous localization and mapping algorithms for a small Parallax robot to identify and navigate 2D planes using a time-offlight camera.
Generative design utilizes topology optimization suggesting novel geometric forms, which are then evaluated for effectiveness against the design criteria (in this case heat transferability, cost, operational life, etc.) and then developed into feasible design solutions. Students on the GM team will develop a generative design process to determine the optimal geometry for a cold-plate cooling design for an electric vehicle.
One of the challenges of validating radar sensors is testing them over a full range of environmental exposures. Students on the Aptiv team will design, build and test a temperature control environment to more accurately validate radars under a wide range of environmental conditions for advanced driver assistance systems (ADAS).
Subaru aims to apply electrification technologies to all of its vehicles sold worldwide by the 1st half of 2030. Students on this project will focus on the customer usage aspects of the vehicle to design and build a system to capture and store the data necessary to measure the comfort zone of drivers of electric vehicles through sensors, driving control, and data collection focusing on acceleration and deceleration.
Yazaki is a global leader in the design and manufacture of electrical and electronic systems for automotive applications. Students on the Yazaki Wireless Door Module Team will investigate and develop a method for powering and controlling automotive door functions that does not require electrical wiring to be routed between the door and the car body side.
Whirlpool is looking at advanced controls technologies including machine learning, neural networks, and model predictive controllers that will more efficiently cool complex refrigerator systems. Students on this team will evaluate current capabilities on the Python framework that will be fast prototyped and applied in a simulation environment with a conceptual plant model.
Clarios creates the most advanced battery technologies for virtually every type of vehicle. Students on the Clarios team will develop a tool to collect and communicate the battery state of health to a mobile device to detect potential battery failure and avoid stranding a customer with a dead battery.
In order for critical driver alert systems to be universally effective, they must be designed with the broad population in mind, including people with accessibility concerns. The students on the Arriver team will research and design a driver alert system that specifically targets drivers with accessibility issues such as deafness and color blindness.
ASML is an innovation leader in the semiconductor industry, and their machines have modules with fairly massive and fast (~100 kg, 3 m/s) scanning stages. Students on the ASML team will design a (semi-passive) deceleration system for our newest stage to come to a stop safely in the event of a control failure, thus enabling it to run at full speed (5 m/s) safely.