Current/Voltage Measurement TRIZ Cases

Short-window phasor estimation enables sub-cycle transmission line fault clearing while limiting CVT transient and decaying DC overreach.

High-rate battery testing is corrected for overpotential noise with a machine learning model, enabling faster diagnosis with results closer to actual charge/discharge performance.

By combining current-proportional and dI/dt voltages, this circuit detects short circuits faster across varied loads and voltage sources.

Auxiliary-terminal voltage triggering with main-current evaluation improves semiconductor deterioration detection accuracy and cuts false positives.

Analog MAC uses resistor lines, current sources, and parallel-switched capacitors to cut neural processing power while improving reliability.

Voltage and differential-capacity peak comparison diagnoses positive electrode state without battery disassembly, avoiding safety risks.

By reading USB data-terminal voltage and adjusting current to voltage drops, charging stays fast without overloading the charger.

Hysteresis correction is added to electrochemical battery simulation to match charging and discharging voltage behavior more closely.

Voltage-difference diagnosis detects external shorts in battery packs without harmful precharge current that can damage relays, resistors, and cells.

Pre-segmented temperature and SOC ranges let equivalent circuit battery parameters be set quickly and updated from predicted voltage error.

Offset calibration and phase comparison sharpen zero-current switching timing in DC-DC converters, cutting power loss and improving efficiency.

Critical timing feedback tracks supply voltage drops and adjusts delay control signals to prevent digital timing errors and lock-ups.

Pulse-based dV1 and dV3 measurements improve lithium-sulfur battery remaining-capacity estimation, especially below 70% SOC.

Voltage deviation against a temperature- and current-based reference profile enables early lithium plating detection before gradual buildup is missed.

Controlled changes in air, humidity, and pressure use voltage stability to detect dry or flooding states and prevent fuel cell deterioration.

Arc energy estimation from a lumped-parameter model reveals switching apparatus wear, enabling predictive maintenance and fewer outages.

A second die detects overvoltage and overcurrent inside a vehicle semiconductor, cutting external parts while improving fault safety.

Multiple isolation driver stages switch on detected common mode transients to balance low power use with reliable differential signaling.

Voltage and capacity deviations reveal positive and negative electrode side reactions, helping set operating conditions that limit battery degradation.

OCV-based algorithm switching improves SOC estimation in manganese-rich battery cells as degradation changes the SOC-OCV relationship.

Differential voltage during charging reveals silicon-graphite anode defects without cell disassembly, reducing waste and safety risk.

Short on/off switching through solid-state components helps distinguish real arcs from noisy loads and reduce nuisance tripping.

When module voltage gaps grow, the BMS switches battery modules from series to parallel to balance them and extend pack lifespan.

Plug-in grid sensors send keepalive and fault packets to pinpoint outage origins and enable real-time power quality alerts.

Real-time current sensing adjusts allowable display supply current to cut power loss and prevent overcurrent during high-load images.

Two voltage monitors stage transistor cutoff and PSU shutdown to prevent load damage from over-voltage while preserving system stability.

Multiple ground detectors compare signal strengths to locate grounded conditions quickly in ungrounded power systems without disruptive isolation.

A shared current detection circuit checks multiple relay states by comparing total and expected current, cutting port count and circuit complexity.

By switching three-phase load states and comparing load parameters, existing EMI capacitors can detect neutral line presence without extra loss.

Electrode profile maps improve diagnosis of multi-phase battery cells by matching comparison profiles to track degradation more accurately.

Alternating TLVR power stages and checking current and switching-node voltage reveals secondary-loop open or short faults before damage spreads.

Differential capacity peak analysis detects negative electrode overvoltage early, helping prevent lithium plating and battery degradation.

Calculated and measured current ratios expose sensor errors in parallel battery packs, improving overcurrent diagnosis without extra hardware.

Shared ADC conversion with primary, secondary, and diagnostic inputs delivers ASIL D cell-voltage redundancy with lower die area and power.

Adjusted positive and negative electrode profiles use battery OCV data to estimate SOH accurately without slow low-rate charge-discharge testing.

Cascoded MOSFETs separate high voltage from sensing circuitry to improve PoE current accuracy, thermal stability, and current limiting.

Differential profile peak comparison tracks uneven degradation in mixed-material battery cells, enabling faster diagnosis and safer charge control.

Charging and discharging peak counts in differential voltage-capacity profiles enable non-destructive battery state diagnosis without extra measurements.

Optical signal transmission and local threshold comparison let DC breaker voltage detection resist high voltage and EMI while simplifying action logic.

Compression during pre-assembly voltage checks exposes latent self-discharge defects in electrochemical cells before battery assembly.

A wrapped sense wire and controller separate inrush from true fault currents, enabling touch-safe isolation and controlled restart in power cables.

Comparison profiles from electrode maps track shifting multi-phase capacity-voltage behavior to diagnose battery cell degradation more accurately.

Voltage checks during cell compression reveal abnormal self-discharge before battery assembly, helping remove latent defects and avoid module scrap.

SOH-based grouping of battery cells by OCV deviation improves inner short-circuit diagnosis accuracy without cell dismounting.

Comparison profiles from multi-phase electrode maps improve battery degradation diagnosis as capacity-voltage behavior shifts over time.

Stored current time-series analysis enables faster fault detection and prediction than threshold-only supervision, improving vehicle safety and reliability.

A live-wire half-bridge control scheme lets ceiling fans combine wall control and pull-chain input without complex added wiring.