Electric Devices TRIZ Cases

Shifting material switchover to the first or last switch event suppresses short pulses, limits overvoltage, and cuts inverter switching losses.

Voltage signatures at standard outlets reveal device states and usage without panel wiring or professional installation.

A pivoting rear battery panel lets loader batteries act as counterweight in use, then swing out for external access and modular replacement.

Machine learning identifies electric drive sensor fault modes from vehicle sensor data, enabling compensation and stable performance with low-cost sensors.

Grouped battery time-series by vehicle model and state enable autoencoder diagnosis that detects abnormalities earlier and avoids unnecessary power loss.

A detachable rear support and deformable front support let a suspended relay connector move forward in rear-end collisions, avoiding subframe contact.

Cooperative voltage data from cell sensors and vehicle controllers reveals external series resistance for earlier battery fault diagnosis and fire-risk reduction.

Independent low-voltage and disconnection checks use different voltage-drop timing to catch deteriorated vehicle battery cells before over-discharge.

Parallel aircraft power converters assign lower neutron-failure risk to the backup unit, helping avoid sequential inverter loss and power interruption.

Independent trailer power channels and linked controllers maintain fail-safe availability when a towing vehicle power path or component fails.

Voltage-drop monitoring during self-discharge estimates cell resistance to flag emerging short circuit risk before failure.

Localized heating near the battery thermal barrier helps contain thermal runaway spread while allowing thinner module insulation.

An AI model compares predicted and actual operating parameters to detect intermittent series arcing in hybrid-electric propulsion buses before damage spreads.

Sensors trigger seawater flow through the battery enclosure to cool cells during decommissioning and reduce thermal runaway and shock hazards.

Adaptive self-heating and external heating raise battery temperature to restore discharge capacity and enable charging in cold conditions.

Displays current, low, and high distance-to-empty values from driving conditions and battery energy to improve EV range prediction.

Aging simulation combines extended driving profiles and climate weighting to predict battery PPM failure rates more accurately.

Historical journey errors refine vehicle energy prediction, improving range estimates for trips with long recharge intervals or sparse stations.

Brittle parallel conductors break under battery impact, enabling low-complexity detection through resistance increase or current drop.

Segmented battery power and voltage modulation help intelligent motorcycles run AI computers, cameras, and cooling loads with stable output.

Measured battery properties are matched with vehicle-linked records to detect unauthorized replacement in leased or rented vehicles.

A dual detection approach combines neural networks with classical vision to verify rail wayside objects and expose misidentifications.

Slave controllers keep EV battery cells balanced during inactive mode, avoiding low-voltage battery drain from master controller operation.

Radial insulating barriers cover conductive rings and extend arc paths, preventing roof-box arcing in compact railway circuit breakers.

Measured battery properties are matched to registered vehicle battery IDs to detect unauthorized replacement in leased or rental vehicles.

Semiconductor desaturation detection and gate-current comparison cut short-circuit response time in high-voltage battery packs.

Route segmentation, historical energy profiles, and target speed guidance improve battery range prediction and destination arrival confidence.

A soft start path charges the output filter capacitor and high-voltage bus through the converter, removing a separate precharge circuit.

Wheel-speed-based power limiting cuts regenerative braking torque at low speeds to reduce drive-wheel skidding while preserving traction.

A fluid-filled sensing cell tracks compression load and temperature in stacked battery packs to flag thermal runaway risk and health changes.

A modified harness terminal structure controls PPTC fuse trip timing across fault currents, improving automotive circuit protection reliability.

Integrated voltage-divider switching detects current leakage and circuit abnormalities in high-voltage vehicles without extra measurement time.

Module-level heaters powered by their own cells let EV battery packs safely lower stored energy before service without discharging every module.

Two isolated high-voltage battery strings keep cooling powered during cell failure, helping prevent thermal propagation to neighboring cells.

Sensor data classification helps electrified vehicles detect battery thermal and open circuit events early for safer, faster response.

Inclined front side frames create a controlled crush zone that absorbs frontal impact while protecting the power control unit, cabin, and battery chamber.

Person-vehicle interaction signals trigger early battery state checks and heating, cutting EV cold-start waiting time with more accurate control.

Cell vents in a battery holder base release pressure during thermal events, helping prevent pack rupture while preserving high energy capacity.

An electroactive polymer member bends at a reference voltage to open the battery pack switch before overcharge heat builds up.

Transient torque pulses and high-resolution wheel speed sensing map the slip curve, allowing torque to be limited before wheel slip starts.

A battery pack controller corrects its temperature limit after protection events, adapting to output changes and reducing residual heat damage.

A sensing resistor and temperature circuit interrupt capacitor discharge at heat thresholds to protect the resistive load in EV systems.

A voltage transformation unit and switch layout let power and energy battery packs work together for stable vehicle power and reliable control.

Packages mixed amplifier monitoring data into A2B channels for real-time transfer and display across data types, rates, and channels.

Filtered current and voltage data from stable drive-cycle regions reveal cell-group resistance differences and flag faulty battery groups early.

Shared and vehicle-specific neural layers improve trip-level energy forecasts across mixed fleets, supporting route and charging decisions.

Pre-stored load-history variables improve energy store prediction accuracy under dynamic loads, supporting safety-relevant vehicle power supply.

A shared wired interface authenticates battery modules and reads temperature sensors, cutting wiring complexity without sacrificing reliability.