1 / 8

INTELLIGENT BLINKER Texas Instruments Analog Design Contest 2013

INTELLIGENT BLINKER Texas Instruments Analog Design Contest 2013. Pietro Buccella Camillo Stefanucci Denis Sallin Naser Khosro Pour Theodoros Kyriakidis Advising Professor: Maher Kayal University: École polytechnique fédérale de Lausanne Date: 05-11-2013. IDEA.

malo
Télécharger la présentation

INTELLIGENT BLINKER Texas Instruments Analog Design Contest 2013

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. INTELLIGENT BLINKERTexas InstrumentsAnalog Design Contest2013 Pietro Buccella Camillo Stefanucci Denis Sallin Naser Khosro Pour Theodoros Kyriakidis Advising Professor: Maher Kayal University: École polytechnique fédérale de Lausanne Date: 05-11-2013

  2. IDEA TURNING: SIGNALIZATION? CARBIKE Turn-on directionalindicatorsUse hand signalization Hand signals are unnoticed in the dark!! For bicycle safety, visibility is key!! DARK Right turn WEARABLE BRACELET IT BLINKS ACCORDING TO THE CYCLIST ARM-MOTION Leftturn

  3. BLOCKDIAGRAM POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm DEBUG INTERFACE: Sensors Calibration, Algorithm Debug USBLinear Li-Ion Battery Charger SOLAR CELL OUTPUT POWER Dynamic Maximum Power Point Tracking (MPPT)

  4. BLOCKDIAGRAM POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm DEBUG INTERFACE: Sensors Calibration, Algorithm Debug Sensor Raw Data Factored Quaternion Algorithm LED Driver

  5. BLOCKDIAGRAM POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm DEBUG INTERFACE: Sensors Calibration, Algorithm Debug • Real time sensor raw data analysis • Data memory for sensor data backup • Sensor Calibration

  6. CIRCUIT IMPLEMENTATION POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm DEBUG INTERFACE: Sensors Calibration, Algorithm Debug MEMS BQ24090 TPDS73001 Li-ion battery MSP430F5xx TCA6507 BQ25504 MEMORY

  7. RESULTS POWER MANAGEMENT: Outdoor Application -> Solar Energy -> Low Power MOTION DETECTION: Detect cyclist arm movement -> Factored Quaternion Algorithm SOLAR CELL OUTPUT POWER • 10% of direct sun condition PV provides 7.7 mW • BQ25504 with 80% efficiency6.1 mW • System total power consumption reaches to 5 mW • Autonomous operation even at 10% of direct sun illumination!! Arm up Arm left • When the arm is moving left or right the threshold for the yaw angle is reached turning on the LEDs • The up and down movement is indeed filtered out by the tilt-compensation algorithm LEDs off Arm right Arm right (rotatedwrist) LED on LED off LED on LED on

  8. ACKNOWLEDGEMENT • TI university program • ADVISING PROFESSOR: MAHER KAYAL • ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE EPFL Pietro Buccella Theodoros Kyriakidis Denis Sallin Camillo Stefanucci Naser KhosroPour

More Related