Electrical Testing TRIZ Cases

Attention scoring checks whether neural-network battery SOH estimates can be trusted, improving real-time reliability without heavy computation.

Attention maps and scores help validate neural-network battery SOH estimates while preserving electrochemical aging dynamics with lower computation.

Residual current through relays that should be open reveals welded contacts early, helping switching equipment maintain safe, reliable operation.

A clamping base reuses the same voltage sampling member across battery busbars, cutting base waste and battery testing cost.

High-frequency current sensing detects battery defects early, filters site noise, and helps prevent thermal runaway and ESS fires.

Upstream voltage and current sensing plus switch opening separates true network sags from meter contact faults and false alarms.

Selects the initial battery for capacitor precharge by voltage, then equalizes parallel battery voltages to limit inrush current after idle periods.

Segmented fitting of low- and high-capacity regions improves battery degradation estimation by separating shape and capacity parameters.

Battery impedance and condition are tracked during simultaneous charging and discharging to adjust charging profiles and limit degradation.

Temperature-aware calibration aligns series current sensors in battery systems to correct drift over temperature and sensor lifetime.

Schedules EV battery SOC calibration during predicted downtime, using on-board discharge to reach a steep OCV-SOC region without external equipment.

Partial-charge impedance measurements feed a machine learning model to sort functional and defective microbatteries without full cycling or aging.

Rapid battery sorting uses trained voltage, current, and impedance patterns to detect defective cells without full cycling or damage.

Model-based control shapes circuit breaker opening and closing travel curves to manage high currents while reducing torque stress and wear.

Segmented battery deterioration sequences suppress life prediction errors from temporary fluctuations and low-usage data gaps.

Parallel semiconductor switches with failure detection and current interruption prevent overheating from half-on faults, even when the ECU is idle.

Current-rate history and battery deterioration are used to choose a replacement battery that stays below a set current-rate limit and slows wear.

Reference overpotential fractions estimate instantaneous electrode potentials, enabling adaptive battery control that limits degradation and improves safety.

Dynamic power routing shares clustered power units across battery pack test channels to handle peak demand with lower hardware cost.

Discrete modeling of electrode interactions with solvents, salts, and events predicts battery aging profiles for lifespan and performance analysis.

Open-circuit voltage is used to end constant-current charging below the standard limit, reducing overcharge risk while preserving battery life.

Battery current polarity monitoring flags weak external power, warns users, and prevents deep discharge through standby or shutdown.

Adaptive inter-cycle extrapolation speeds porous-electrode battery aging simulations while preserving end-of-life prediction accuracy.

Open-circuit voltage and parked-time dark current correction improve auxiliary battery SOC estimation without current-sensor error.

Correcting lithium concentration imbalance with multi-current potential and impedance data enables accurate battery aging checks during rapid charging.

Monitoring leakage current, temperature, and recharge frequency during charging helps detect cell degradation before sudden failure in medical equipment.

A low-power sensor cuts scan rate and wakes a higher-draw camera only for new objects, extending battery-backed vehicle monitoring.

A two-stage battery evaluation separates safety thresholds from service life prediction to guide safe reuse or recycling decisions.

A piezoelectric jig senses cell expansion and adjusts its own volume to keep secondary battery pressure constant during charge and discharge.

Voltage-capacity curve analysis during charge termination improves battery pack full-charge capacity and SOH estimation when OCV-SOC correction is limited.

A vacuum-activated test fixture routes power through an energy storage device to measure aerosol power unit charge accurately despite modulation.

Segmented end plates and detachable sensing housing keep pouch cells evenly compressed, prevent swelling, and scale to different cell counts.

Measures self-discharge current intensity and inflection points to identify faulty secondary batteries before low-voltage module failure.

Separating easy and hard battery voltage logging data enables tailored models that improve capacity estimation accuracy across charge and discharge cycles.

Battery parameters pulled from the vehicle controller cut manual entry, speed reserve charge testing, and flag corrosion or bad cells.

Rest voltage, Coulombic efficiency, and anode-free cell cycling reveal metal battery failure modes and predict lifetime in fewer cycles.

Charging parameters are adapted from battery history to extend cycle life, reduce stress, and detect abnormalities earlier.

Low-pass filtering and compensated voltage ratios help distinguish internal from external line faults under harmonics and high source impedance.

Dynamic sink current adds missing spectral content to online battery characterization, improving equivalent circuit parameter estimation with less offline effort.

A turntable with multiple detection stations and rotation improves camera module inspection speed and angle coverage in manufacturing.

Adaptive regularization and staged estimation improve DUT parameter accuracy and convergence speed across varying IC, temperature, and age conditions.

Iterative regularization tuning speeds frequency-domain DUT parameter estimation while improving accuracy and avoiding false local minima.

Mission assignment uses battery charge, robot location, and task priority to prevent incomplete runs and reduce recharge disruptions in material handling.

Sensor data on flexing and temperature helps predict MRI module failures early, enabling planned replacement and fewer disruptions.

BIST-tuned sensing and tuning MOSFETs improve LDO load-current measurement at low input voltage while limiting chip area and quiescent current.

A tunable sensing and tuning MOSFET circuit helps SoC BIST measure LDO load current accurately at low input voltage with less area and quiescent current.

By splitting resonance and anti-resonance bands, this case measures servo frequency response accurately without harmful excitation.

Solder coordinate correction is verified before and after reflow to catch PCB component placement errors and monitor mounter operation.

Automated host scheduling and intelligent transport move battery test equipment to target stations, cutting manual workload and execution errors.