Sensor Fusion and AI Model: How PREETO Achieves “Human–Bike Synergy”

The intelligence of an E-bike isn’t just about adding an app — it’s about understanding both the rider and the road. PREETO’s mid-drive system achieves this through “quad-sensor fusion + AI model algorithms”, transforming the motor into a thinking riding companion that delivers a seamless, intuitive experience: when you want to go faster, it powers up; when you want to save energy, it smooths out.

Quad-Sensor Collaboration: Capturing Every Detail of the Ride

PREETO’s control system integrates four core sensors to create a comprehensive perception network:

• Torque Sensor – Precisely detects changes in pedal force. For example, when you push harder uphill, the sensor instantly recognizes the effort and boosts motor output accordingly.
• Wheel Speed + Cadence Sensors – Continuously monitor wheel rotation speed and pedaling cadence (e.g., the P90 supports up to 120 RPM) to assess your speed demands. On flat terrain, a stable cadence ensures smooth and consistent assistance.
• Three-Axis Sensor – Senses the bike’s posture—tilt, slope, or bumps—to prevent issues like weak starts on inclines or power interruptions on uneven roads.

AI Model Algorithm: Smarter Power Adaptation

The massive data collected from sensors (torque, speed, posture, terrain) is processed by PREETO’s AI model algorithm, which translates them into just-right power delivery.

• Real-Time Decision Making – The algorithm processes data within milliseconds. When you suddenly accelerate to overtake, the system instantly increases power output to eliminate lag. During downhill deceleration, it automatically reduces power to prevent “dragging.”
• Adaptive Mode – Beyond the standard five modes — PUSH (no assist), ECO (range priority), TOUR (balanced), SPORT (performance), and BOOSTER (maximum power) — PREETO offers an AUTO mode. It learns your riding habits (whether you prefer strong or light pedaling) and real-time conditions (flat terrain, hills, or headwinds), automatically adjusting the power curve. For instance, if your daily commute includes a specific hill, AUTO mode remembers and adapts assistance for that section next time.
• Personalized Adjustment – Through the dedicated PREETO app, riders can fine-tune assist levels (e.g., set ECO mode assistance to 30% or 50%), record routes, and view detailed metrics such as power output, torque, and elevation gain. Enthusiasts can use power data to optimize training, while commuters can use range data for better route planning.

The Intelligent Loop: Perception → Decision → Adaptation

This closed-loop system of perception, decision, and adaptation delivers an effortless extension of human power — what PREETO calls the “as-one” riding experience:

• Starts are smooth when lights turn green.
• Power transitions between modes are seamless, with no jerks.
• Complex terrain no longer requires manual mode switching.

This is the true essence of eBike intelligence — a riding experience that feels as natural as intuition itself.