Vehicle Testing TRIZ Cases

See how a coated artificial grass surrogate replicates visual, infrared, and radar properties o

See how a resilient flange retains the abdomen component to prevent separation during collision

See how real-time load curve parameter adjustment accounts for temperature, altitude, and wind

See how GPS geo-fencing triggers automated controller-based pre-trip inspections on refrigerate

An upright retainer and annular lock structure keeps an inflatable mannequin stable in collision tests while reducing damage and radar interference.

Validation and coaching data replace slow manual review, helping identify repair facilities with technicians proven for specific auto damage.

Remote setpoint and running-time configuration over a polarity-insensitive two-wire bus improves HVAC actuator accuracy and fault detection.

Crank speed, battery voltage, and ambient temperature are compared to expected values to warn of imminent starter failure before downtime.

A polarity-insensitive two-wire bus enables remote HVAC actuator setup and immediate onboard fault reporting to improve reliability.

A single contact-based receptacle identifies different authorization carriers to unlock user-specific cleaning appliance functions.

Residuals from locally weighted HVAC state prediction help separate normal operating variation from true faults with higher diagnosis accuracy.

Dynamic source selection lets refrigerated trucks prioritize shore power, engine generators, and auxiliary power to cut fuel use and idle time.

Airflow flux sensing detects missing or clogged battery pack air filters, enabling fan control and timely replacement to protect pack life.

By comparing actual cabin temperature with predicted values from occupancy and outdoor conditions, this case enables early AC maintenance alerts.

A dual-rate spring and carriage arrangement changes spring rate through the stroke to simulate nonlinear force in a lighter, more compact mechanism.

Map-based road and terrain data generate ADB evaluation images that reflect relative speed and glare conditions without road measurement.

Remote brake, throttle, and steering intervention keeps autonomous vehicle tests within safety boundaries without a human safety rider.

Cold-start coolant diagnostics use valve-controlled flow and temperature gradients to separate sensor faults from auxiliary heater preheating.

Travel state sensing lets the vehicle rate an autonomous driving unit's real performance and adjust control for safer operation.

A radially mounted motor frame with shaft pass-through openings enables compact e-axle testing, precise torque measurement, and high-speed rigidity.

A frame opening and intermediate shaft let compact electric axle modules run at high speed on test benches with accurate torque measurement.

Boundary-based driving recommendations keep data within the diagnosable range while reducing driver stress and skill demands.

Indicator color data and a degradation model improve tire condition assessment, enabling more reliable retreading option selection.

Wireless sensor data, stationary references, and vehicle position tracking enable accurate calibration on the production line without separate stations.

Automated AEB calibration adjusts probabilistic trigger parameters through scenario testing to cut false braking and missed collisions.

Wheel-rotation pulses are compared with reference counts to detect vehicle speed abnormalities without roller devices, saving space and inspection effort.

Condition-matched normal-operation data improves vehicle abnormality diagnosis when weather, traffic, and brake state vary.

Sensor feedback matches wheel and roller circumferential speeds to prevent wheel deviation during unmanned vehicle inspection.

Wheel-rotation pulse counts over a reference distance replace roller-based speed checks, cutting setup space while detecting vehicle speed abnormalities.

Existing engine and vehicle sensors are compared with control maps to detect air pressure limiting valve faults and airflow leaks without added sensors.

Wheel-mounted sensors and AR guidance replace manual alignment and target placement to improve vehicle calibration accuracy.

A duct-fed test substance and carrier flow creates uniform, repeatable cabin air quality component testing without time-consuming field drives.

A real vehicle and simulated objects are combined to test autonomous driving hardware under controlled scenarios before deployment.

Sealed modular sensor units measure tire tread depth without inter-unit laser calibration, improving durability against water, vibration, and wear.

Sensor feedback matches wheel and roller circumferential speeds to prevent wheel deviation during unmanned vehicle inspection.

A time-lowered reference voltage lets one comparator distinguish multiple vehicle impact conditions and quickly cut battery output after a crash.

Predefined mat markings and adjustable tiles improve vehicle alignment accuracy for validating autonomous parking in narrow spaces.

Dual accelerator maps combine feedforward and feedback control to follow command speed without vehicle-by-vehicle pre-learning.

Real-time environment monitoring and impact detection trigger selective airbag deployment for faster, more appropriate pedestrian protection.

Remote commands trigger self-tests in occupantless autonomous vehicles, letting fleets be monitored and cleared for missions.

Combining pressure and cell-voltage abnormalities enables faster battery pack thermal chain detection while filtering false alarms from leaks.

Hardware-in-loop chassis simulation adds fault injection and realistic status feedback to improve autonomous driving closed-loop test authenticity.

A quadratic torque converter model replaces costly complex estimation to identify true maximum powertrain torque across breakpoint regions.

Spatially separate simulation modules generate realistic multi-sensor signals for driver assistance bench testing without sensor interference.

Onboard sensors and recursive mass-property updates estimate front and rear axle lateral forces accurately across load, speed, and road changes.

A two-stage AI admissibility check screens vehicle function designs before deployment, improving reliability and homologation compliance.

Automated scenario-driven motion platform control removes manual test setup in self-driving vehicle tests, improving efficiency and accuracy.

An on-engine interface module combines sensor and actuator signals into one output, cutting remote EEC harness weight and complexity.

Asynchronous test results update a unified scenario parameter space, improving vehicle test sampling, failure discovery, and information gain.

Coordinated autonomous swarm vehicles follow time-based test plans to simulate complex AV scenarios with less human risk and more repeatable results.

Usage and environmental data estimate camera, processing, and display life so only worn indirect vision parts are replaced.

Tracks remaining life of camera, processing, and display components so only worn indirect vision parts are replaced or reused.

Two-stage telematics analysis uses acceleration and vehicle weight data to improve crash detection across different vehicle models.

Load-sensor feedback offsets robotic steering forces that mimic driver input, preventing override during automated steering tests.

Aligning rollers place each vehicle at a fixed position, enabling one roller brake tester to measure braking force and test driving assistance systems.

Actual driving data is converted into an equivalent WLTC pattern, enabling fast vehicle and battery diagnosis without test-cycle equipment.

Reinforcement learning and alliance games generate interactive high-risk driving scenarios that expose dangerous boundary cases faster.

Virtual and movable target vehicles recreate traffic interactions in the lab for accurate autonomous vehicle emissions and efficiency testing.

Rolling mechanisms clamped in dual guide grooves cut friction and installation complexity while keeping calibration movement stable under heavy loads.

Dynamic input sequencing selects the next most useful sound or driving data to narrow abnormal sound causes with fewer diagnosis man-hours.

Majority voting across wheel rotation directions lets the control interface signal forward, reverse, standstill, or undefined states to ADK.

A mobile inspection vehicle scans under parked vehicles to detect obstacles that could block departure without mounting sensors on the vehicle.

A single roller platform aligns the vehicle, applies wheel vibration, and measures brake force to cut floor space, maintenance, and test time.

A soil-groove platform with guide rails, hitch trolley, force sensing, and imaging enables accurate, controllable testing of large farm machinery.

A state observer and competitive neural network improve abnormality detection by adapting to environment changes and device behavior.

Processing circuitry detects stable engine conditions and collects shovel diagnostic data, avoiding unreliable operator-driven hydraulic movements.

A filter module determines memory threshold values to dynamically adapt activation parameters, resolving automation stability issues.

A vehicle performance testing device reproduces surrounding environments and running states within a controlled indoor space.

An independent test subsystem injects perturbation signals into control surfaces to characterize dynamic responses and identify malfunctions during flight.

A diagnostic adapter relay routes data and power signals between vehicle interfaces and computer ports through a single integrated cable connection.

A vehicle diagnosis system generates a prioritized list of probable component faults to streamline the repair process.