PWM Signal Reconstruction to Operate the iBooster Brake for Electric Vehicle: A Reverse Engineering

The rise of Advanced Driver Assistance Systems (ADAS) has emphasized the need for technologies such as Automatic Emergency Braking (AEB) and Adaptive Cruise Control, both of which require brake activation without driver input. Since 2016, automotive manufacturers, particularly in the U.S., have been incorporating AEB technologies in response to safety demands. Bosch's iBooster, an electromechanical brake booster, has gained prominence for its role in autopilot and braking systems, notably in Tesla's Model S and X. The iBooster system can generate full braking pressure in just 120 milliseconds and allows for electronic control while still maintaining manual override capabilities. Tesla's iBooster Gen1, used in its autopilot system, operates via a Controlled Area Network (CAN), though the exact method is not publicly available. Honda has also adopted the iBooster Gen1 in the 2018 CR-V, utilizing it for the Brake Assist feature, although details on Honda's CAN network usage remain limited. This paper explores reverse engineering of the iBooster to uncover key hardware and software technologies. The reverse engineering operation entails altering the system's control loop, capturing the pedal sensor signal, and replicating this signal using an Arduino. Additionally, it includes designing circuit schematics and PCBs. The results demonstrate the success of this reverse engineering approach, which uses a work cycle and Pulse Width Modulation (PWM) to interact with the iBooster Gen1. The method produced identical responses to the iBooster with PWM values set at 30%, 40%, and 50%.

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Publication Details

Published
2024-11-19
DOI
https://doi.org/10.1109/icsmech62936.2024.10812289
Primary Topic
Brake Systems and Friction Analysis
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article
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article

PWM Signal Reconstruction to Operate the iBooster Brake for Electric Vehicle: A Reverse Engineering

Yanuandri Putrasari, Muhammad Khristamto Aditya Wardana, Mulia Pratama, Achmad Praptijanto et al.
Brake Systems and Friction Analysis
article

PWM Signal Reconstruction to Operate the iBooster Brake for Electric Vehicle: A Reverse Engineering

Yanuandri Putrasari, Muhammad Khristamto Aditya Wardana, Mulia Pratama, Achmad Praptijanto, Nur Arifin, Ahmad Dimyani, Suherman Suherman, Muhammad Rizalul Wahid, Dewi Indriati Hadi Putri, Bambang Wahono, Muhamad Fajar Imanul Haq, Faiza Latifah
article en

Abstract

The rise of Advanced Driver Assistance Systems (ADAS) has emphasized the need for technologies such as Automatic Emergency Braking (AEB) and Adaptive Cruise Control, both of which require brake activation without driver input. Since 2016, automotive manufacturers, particularly in the U.S., have been incorporating AEB technologies in response to safety demands. Bosch's iBooster, an electromechanical brake booster, has gained prominence for its role in autopilot and braking systems, notably in Tesla's Model S and X. The iBooster system can generate full braking pressure in just 120 milliseconds and allows for electronic control while still maintaining manual override capabilities. Tesla's iBooster Gen1, used in its autopilot system, operates via a Controlled Area Network (CAN), though the exact method is not publicly available. Honda has also adopted the iBooster Gen1 in the 2018 CR-V, utilizing it for the Brake Assist feature, although details on Honda's CAN network usage remain limited. This paper explores reverse engineering of the iBooster to uncover key hardware and software technologies. The reverse engineering operation entails altering the system's control loop, capturing the pedal sensor signal, and replicating this signal using an Arduino. Additionally, it includes designing circuit schematics and PCBs. The results demonstrate the success of this reverse engineering approach, which uses a work cycle and Pulse Width Modulation (PWM) to interact with the iBooster Gen1. The method produced identical responses to the iBooster with PWM values set at 30%, 40%, and 50%.

Indonesia University of Education (ID), Universitas Purwakarta (ID)
Affordable and clean energy
Openalex Percentile: Top 73%
Brake Systems and Friction Analysis
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