Operating Modes TRIZ Cases

Color-coded power indicators show when an FCV shifts from single-source output to combined fuel cell and battery power.

A fixed primary energy rail lets driverless transport vehicles climb height transitions at throughput speed without onboard hoisting complexity.

Future temperature prediction and battery-to-battery charging secure startup power in cold parking conditions while avoiding battery damage.

Adaptive filtering derives G and H from real-time voltage and current data to estimate battery state accurately with low computing cost.

Filtering and latching battery reports creates stable time-to-empty and distance-to-empty values for multi-battery marine propulsion.

Pre-entry energy checks use parking lot maps and predicted travel time to keep low-charge vehicles from blocking automated parking flow.

Route-based thermal prediction pre-cools the high-voltage battery to preserve cabin cooling capacity and reduce energy use.

Ground contact sensors narrow UAV target areas and prioritize routes to cut flight time and battery use in large-area soil and plant tasks.

Smoothed TTE and DTE updates reduce noisy multi-battery range estimates in electric marine propulsion displays.

Engine-driven generation and inverter conversion give an ATV bed outlet AC power for remote accessories without an external generator.

A pressure prediction model pre-adjusts onboard hydrogen flow and pressure to match rapid fuel cell load changes and avoid supply lag.

Orthogonal reference signals separate real and imaginary battery impedance components, reducing wiring-induced phase errors without feedback control.

Beacon and tracking data are combined to trigger reliable rail vehicle drive mode changeovers, even on beacon-less track sections.

Step response measurements of water and heat transport reveal fuel cell humidifier aging, enabling better power distribution and maintenance timing.

Alternating high-impact and peripheral vehicle data in CNN matrix rows improves battery deterioration estimation without relying only on primary signals.

When fuel cell overload occurs, this control strategy shifts more travel demand to the battery to slow deterioration and preserve driving performance.

SOC-based deterioration checks let EV battery management restore recovered characteristic values and avoid overly conservative charge control.

Step response data on water and heat transport is fitted to an aging model to estimate fuel cell humidifier health and guide power control.

Voltage error correction with an adaptive Kalman filter improves EV battery SOC estimation accuracy without heavy real-time computation.

Future battery degradation is estimated from vehicle usage and battery state, then control is adjusted to delay wear without excessive performance limits.

Dynamic charging limits let vehicles supply extended non-driving power on demand while reducing battery degradation and avoiding larger batteries.

Adaptive fuel cell idling modes cut energy use and noise while keeping faster power recovery ready for changing driving demands.

By comparing learned reference current with network-wide measurements, this case detects abnormal heavy-duty vehicle loads before fuse ageing or overheating.

Predicted power demand and scenario cost comparison help a fuel cell-battery assembly cut fuel use without excessive restart degradation.

Condition-based switching disconnects aging batteries from traction power and reuses them in the on-board network to extend service life.

Predicted demand and cost comparison guide fuel cell shutdown or startup to cut fuel waste while limiting degradation in hybrid power assemblies.

Interleaved coils and a staged launch sequence reduce maglev track bulk, improve field use, and keep the train centered and stable.

Predicts battery ageing from user usage and load profiles to assign the right device type and assess residual value more accurately.

Center-of-gravity and tilt sensing keep a mobile ceiling drilling guide vertically aligned, reducing ladder repositioning and setup effort.

Multiple induction coils sum boundary-wire voltages to measure mower distance accurately and keep autonomous mowing on a stable path.

Wireless proximity and stationary-state checks enable e-bike app functions only when the bicycle is stopped, reducing unsafe activation.

Future state-of-health prediction adjusts vehicle battery energy returned to the grid to limit aging and preserve autonomy.

Graphic range indicators compare battery charge with expected driving energy so drivers can balance timetable adherence and route completion.

Electrochemical signals from diagnostic cycles reveal degradation features, enabling ML-based battery EOL prediction without long cycle testing.

Charging-state-based preheating or precooling brings the battery pack to target temperature before use while reducing onboard power draw.

A battery temperature control device adjusts cooling commands based on electrical power output gradients to enhance system reactivity.

A neural network battery model calculates internal ion concentration from physical sensor data to determine state of charge.

Segmenting the battery into individual cells and applying a Kalman filter resolves measurement precision issues caused by cell imbalance.

A battery monitoring system estimates remaining driving distance using actual consumed ampere hours and nominal capacity data.

A traction battery cooling system uses a controller to forecast temperature profiles and pre-cool the battery before high-load phases.

Monitoring unit calculates remaining time for external electrical loads using energy storage device power data.

An integrated cleaning mechanism removes lens dirt to prevent image misjudgment and ensure reliable security patrol operations.

A vehicle battery controller estimates rest temperature by averaging ignition-on sensor readings to reflect environmental conditions.

A telematics system calculates optimal charging times using historical usage data and destination information to notify electric vehicle owners.

Permanent magnet AC motor replaces induction units to reduce volume while increasing power, enabling autonomous operation through onboard battery storage.