Unlock Hidden Data: Deep Dive into Aygo OBD2 and Sensor Access

For Toyota Aygo owners keen on monitoring their vehicle’s health and performance, the On-Board Diagnostics (OBD2) system is a gateway to a wealth of information. Thanks to insights shared within the car enthusiast community, particularly on platforms like the GR Yaris forum, we’ve uncovered how to access even more sensor data from your Aygo than typically available. This exploration leverages the OBDLink app and a clever trick involving the Toyota Camry 2020 profile, opening up a deeper level of vehicle diagnostics.

The discovery originated from the realization that selecting the Toyota Camry 2020 within the OBDLink Android application unlocks access to additional sensors beyond the default Aygo settings. This intriguing finding paved the way for further investigation into the communication protocols at play. To understand how this expanded sensor access works, a technique known as Bluetooth traffic “sniffing” was employed using readily available Android tools and Wireshark, a powerful network protocol analyzer. By monitoring the Bluetooth communication between the OBDLink device and the Aygo’s ECU (Engine Control Unit), researchers could decipher the underlying commands and responses.

The captured data revealed a series of commands based on the ELM327 microcontroller protocol, which is the heart of many OBD2 adapters, including OBDLink. These commands, starting with “ATSH 0007D0” to set the OBD header, are instructions sent to the car’s systems to request specific data. For example, the command “2162” queries for OBD Mode 21 PID 62, resulting in a response string like “7D8 05 61 62 03 00 00 0”. Breaking down this response, “7D8” identifies the ECU responding, and the subsequent bytes contain sensor data. While some parts of the data stream are still under investigation, key sensor readings have been successfully identified and decoded.

Through this reverse engineering effort, a valuable list of OBD Headers, Modes, and PIDs (Parameter IDs) has been compiled for the Aygo. This table maps specific sensors to their corresponding OBD2 parameters, allowing users to monitor a range of vehicle data in real-time using compatible OBD2 apps like Torque (when custom PIDs are imported).

Sensor Category Mode PID Header Formula Diag Command
Parking Brake Status (ON/OFF) Navigation System 21 62 7D0 BIT(A:1)
Accelerator Pedal Position Engine 221 059 700 (A-41) / 1.42
Engine Oil Pressure Engine 221 074 700 (((A*256)+B) * 10) / 128
M/T Oil Temperature Engine 221 638 700 A + B/256 – 40
Battery Voltage (+B Voltage) Combination Meter 221 021 7C0 A/10
Fuel Input Combination Meter 221 022 7C0 ???
Sub Fuel Level Combination Meter 221 023 7C0 ???
High Fuel Pressure Engine 221 F6D 700 ???
Low Fuel Pressure / Fuel Pressure 2 Engine 221 F6D 700 ???
Intake Manifold Absolute Pressure Engine 221 F87 700 ???
Low Fuel Pressure Sensor Reading Engine 221 0CD 700 ???
ExDID_1BE1 Engine 221 BE1 700 ???
ExDID_15F7 Engine 221 5F7 700 ???
ExDID_1F07 Engine 221 F07 700 ???
Tire Pressure – Tire 1 TPM 221 005 750 B * 0.01373 atcea2A atta2A
Tire Pressure – Tire 2 TPM 221 005 750 D * 0.01373 atcea2A atta2A
Tire Pressure – Tire 3 TPM 221 005 750 F * 0.01373 atcea2A atta2A
Tire Pressure – Tire 4 TPM 221 005 750 H * 0.01373 atcea2A atta2A
Tire Temperature – Tire 1 TPM 221 004 750 A – 40 atcea2A atta2A
Tire Temperature – Tire 2 TPM 221 004 750 B – 40 atcea2A atta2A
Tire Temperature – Tire 3 TPM 221 004 750 C – 40 atcea2A atta2A
Tire Temperature – Tire 4 TPM 221 004 750 D – 40 atcea2A atta2A
Tire Position – Tire 1 TPM 222 021 750 LOOKUP(A::1=FL:2=FR:3=RL:4=RR) atcea2A atta2A
Tire Position – Tire 2 TPM 222 021 750 LOOKUP(B::1=FL:2=FR:3=RL:4=RR) atcea2A atta2A
Tire Position – Tire 3 TPM 222 021 750 LOOKUP(C::1=FL:2=FR:3=RL:4=RR) atcea2A atta2A
Tire Position – Tire 4 TPM 222 021 750 LOOKUP(D::1=FL:2=FR:3=RL:4=RR) atcea2A atta2A
Steering Angle 221 004 7B3 ((SIGNED(A)*256)+B)*1.5
Master Cylinder Temperature Brake 221 006 7B0 A-80
Coupling Temperature Four Wheel Drive 221 026 7B1 (A*256+B)/128

While some formulas and sensor definitions are still under investigation (“???” in the table), this initial research provides a solid foundation for Aygo owners to delve deeper into their car’s data. For those looking to get started quickly, a CSV configuration file compatible with the Torque app is available, pre-loading these custom PIDs for easy sensor monitoring. This collaborative effort exemplifies the power of community-driven exploration in unlocking hidden functionalities within our vehicles. Further investigation and contributions are encouraged to fully map out the Aygo’s OBD2 data landscape.

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