Cycle Sensors TRIZ Cases

A two-threshold inclination check deactivates engine cutoff at zero speed when sensor calibration is unreliable, preventing unintended shutdowns.

Driver head position is used to detect pushing intent and adjust assistance speed, reducing burden when moving a two-wheeled vehicle.

Motor current differences across crank angles estimate pedal force for retrofit e-bike assist without complex force sensors or bicycle changes.

Distance-based yaw and speed correction helps a mobile body avoid nearby obstacles smoothly while improving timely evasive action.

Sensor-based plausibility checks enable intuitive e-bike walk mode activation while preventing accidental motor-assisted push mode operation.

Sensors detect staircase geometry and adjust eBike drive torque and speed to make pushing a heavy vehicle upstairs easier.

Hall Effect sensors and magnets capture bicycle component motion accurately, turning real handlebar and bike movements into realistic virtual training input.

A gravity-sensed seat pitch adjustor maintains rider position across uphill and downhill gradients to reduce lower back stress and slippage.

Motor torque based on roll angle and steering direction helps a stationary bicycle resist tilting and stay balanced with feet on the pedals.

Motor assist is adjusted from pitch angle and rider load to improve e-bike propulsion efficiency while avoiding unstable response to noise.

Hall Effect sensors and magnets capture real-time handlebar motion so bicycle trainers can deliver accurate steering input in virtual riding.

Pitch angle and wheel rotation are combined to predict bicycle terrain and road curving more accurately than roll-only control.

Axle-mounted accelerometers capture fore-aft and vertical motion to detect rider input and terrain for more precise bicycle suspension control.

Sensor measurements of bicycle position, speed, torque, or cadence validate a walk-mode trigger to prevent accidental activation.

Motorized tilt and linear actuators adjust bicycle seat height and tilt while riding, avoiding dismounts as terrain changes.

A motor controller uses body tilt, pedal force, and sharp-curve detection to adjust assist force for improved curve-riding feel.

A control method adjusts electric motor switch-off periods based on detected pitch angle and operating variables to reduce drive system wear.

Dynamic speed adjustment adapts motor assistance to inclination angles, resolving safety and travel speed contradictions.

A bicycle camera permanently records video to a circular buffer, capturing footage before an event trigger activates.

A bicycle control system uses inertial sensors to detect cyclist presence and manage motor activation.

A saddle-straddling vehicle corrects wheel force calculations using rider posture and mass data to maintain grip.

Calculation unit estimates rider torque using pitch rate and vertical acceleration sensors for accurate electric drive control.

Variable interval sensing filters periodic engine vibration noise from inclination angle measurements, preventing erroneous engine shutdowns during travel.

Pedal force sensors measure radial and tangential loads to identify whether a bicyclist is sitting or standing.

Electronic controller limits antilock brake system activation via cadence and torque data to prevent execution during unsuitable riding conditions.

Dynamic shifting conditions adapt to rider cadence and torque, optimizing energy transfer efficiency while maintaining operational simplicity.

Adjusting the predetermined speed threshold according to turning, braking, and slope states prevents erroneous propulsion during unstable maneuvers.

A calculation device determines energy indices using vehicle speed and altitude data at distinct travel points.