WeChat
Video
Tiktok
In today's rapidly evolving autonomous driving landscape, the braking system — as a core component of the autonomous vehicle chassis — plays a particularly critical role in response speed, safety, and energy efficiency.
To meet the autonomous vehicle industry's demand for high-precision, high-performance, and high-redundancy braking systems, TEEMO has pioneered the integration of an EMB (Electro-Mechanical Brake) system on its intelligent skateboard chassis — the AutoBots-W7. Having completed full-operating-condition validation, the EMB system will become standard across the entire AutoBots series of intelligent skateboard chassis this year.
『Precision Braking & Safety Assurance』
-
Four-Wheel Independent Electric Braking
With EMB equipped on the intelligent skateboard chassis, the four-wheel independent electric braking technology can adjust braking force at each wheel in real time, enabling fine-tuned control for different road conditions and delivering more precise lateral and longitudinal vehicle control.
On slippery or rugged terrain, the system ensures the stability and safety of the intelligent skateboard chassis by precisely controlling the braking force at each individual wheel.
-
Fast Response & Short Braking Distance
In emergency situations, the EMB system leverages distributed wheel-end control to achieve instantaneous response and minimize braking distance, while also minimizing energy loss — ensuring safe vehicle stopping in critical moments.
-
ESC
In addition, the EMB system integrates Electronic Stability Control (ESC) functionality, enabling real-time adjustment of brake force distribution to correct vehicle posture and prevent skidding or loss of control during sharp turns or on slippery roads.
Under complex operating conditions, this effectively enhances the handling stability of the intelligent skateboard chassis and reduces the risk of loss of control during high-speed driving or extreme maneuvers.
『Efficient Energy Management & Low-Power Design』
The EMB system integrated by TEEMO features a lightweight design, with a single-unit assembly weight of just 7.3 kg. Compared to traditional hydraulic braking systems, it significantly reduces energy loss and substantially improves the overall energy efficiency of autonomous vehicles. This effectively meets the demands of long-duration, high-efficiency operations — making it particularly suitable for high-frequency use scenarios.
During braking, the EMB system optimizes battery usage efficiency through regenerative braking technology and precise electronic control. When the brakes are applied, the system converts a portion of the vehicle's kinetic energy into electrical energy and feeds it back to the battery — reducing energy waste and extending range.
『System Stability & Redundancy Assurance』
The system adopts a hardware-software decoupled architecture, enhancing flexibility and scalability while avoiding the tight coupling of hardware and control systems found in traditional hydraulic braking systems — ensuring high reliability.
Furthermore, the system incorporates multi-functional safety redundancy design, ensuring that even if some modules fail, others can still maintain stable system operation. This provides an additional layer of safety, enhancing the vehicle's overall reliability and robustness against interference.
『EMB,Core Braking Technology for Future Intelligent Skateboard Chassis』
The EMB (Electro-Mechanical Brake) system represents the future of drive-by-wire chassis technology for autonomous vehicles.
EMB not only delivers a quantum leap in braking performance and safety but also lays a solid foundation for the widespread adoption of autonomous driving technology. As autonomous driving continues to mature, EMB will play a vital role in intelligent transportation systems, driving low-to-medium-speed autonomous vehicles toward greater efficiency and safety.
TEEMO will continue to maintain its technology leadership and drive ongoing innovation in EMB systems and intelligent skateboard chassis, empowering partners to accelerate the deployment and adoption of low-to-medium-speed autonomous driving scenarios — contributing to the prosperous growth of the autonomous driving industry.
