DESIGN AND DEVELOPMENT OF MODULAR SENSOR SEATS FOR AUTONOMOUS VEHICLES
Reference persons ALESSANDRO SCATTINA
External reference persons Prof. Alberto Vergnano (Università degli studi di Modena e Reggio Emilia)
Thesis type NUMERICAL AND DESIGN ORIENTED
Description The goal of the thesis is to improve the design, and consequently the Technology Readiness Level – TRL, of a seat equipped with a pressure sensor system to be used in the new autonomous vehicles. To improve the design of the system, simulations with Finite Element Method and Human Body Models will be used. These instruments will be useful to study non-conventional posture allowed with the autonomous vehicles. The simulations will be used to optimize the layout of the sensors in order to increase accuracy and reliability of the system.
More details about the topic of the thesis can be found below.
Scientific researchers and automotive industries are developing the technologies for the future connected and autonomous vehicles. According to SAE International Standard J3016, in levels 4, High Automation and 5, Full Automation, the attention demanded to the driver and occupants is progressively relaxed, allowing them to engage in non-driving activities in non-conventional positions. However, in case of accident the airbag deployment against an Out of Position (OOP) occupant may cause serious injuries instead of mitigating the crash effects. To this aim, the car manufacturers carry out severe crash tests for the airbag deployment against OOP dummies, including both driver and passengers. The safety of the future “intelligent” vehicles may be improved by developing airbag systems adaptive to the car speed, impact severity, safety belt use, body size and on the actual occupant position. So, future intelligent vehicles should be also able of monitoring the inside scenario with physical and physiological measurements.
The occupant position can be studied for ergonomics or safety purposes by monitoring the occupant pressure on the seat surface. To this goal, 3 prototypes have already been developed:
1. a sensorized seat cover with 16 Force Sensing Resistors and controlled with Arduino system;
2. a pressure mat with 1500 cells made up of a piezoresistive sheet and a row x column logic;
3. a seat subdivided in 13 modules sensorized with load cells controlled with Arduino system or with STM board.
With these prototypes (papers available upon request) the feasibility of a pressure sensor system for detecting OOP conditions of the occupants has been demonstrated. The pressure field is evaluated against the dynamics of the vehicle, considered as a mobile reference platform, monitored by an Inertial Measurement Unit (IMU). The intelligent seat system is therefore able to identify whether the movements of the pressure centre are due to the accelerations or to the change of position of the occupant towards an OOP.
Deadline 20/06/2024 PROPONI LA TUA CANDIDATURA