Cells Structural Combination TRIZ Cases
- Plugin Module for High-Voltage Motor Vehicle Battery Assembly
A plugin module connects stacked battery modules to generate high voltage, eliminating hazardous assembly processes and reducing component count.
- Battery Charging Control via Temperature-Regulated Cut-off Current
A charging control apparatus regulates battery cut-off current based on temperature to maintain constant-current mode.
- Battery Overcharge Safety Device Using Swelling Pressure
A movable guide member disconnects a battery switch when the cell pouch swells.
- Fuse in High Voltage Battery Sensing Line for Short Circuit Protection
A passive fuse interrupts sensing line currents to prevent secondary fires when vehicle Battery Management Systems remain inactive.
- Electronic Cigarette Power Adjustment via Atomizer Connection
Controller detects atomizer connection state to select target output power from pre-stored correspondences.
- Dual Battery Discharge Control via Voltage-Managed Switching
Dynamic voltage comparison switches battery discharge paths to balance usage, extending operation duration while reducing device volume.
- Integrated High-Voltage Distribution Unit for Vehicle Energy Storage
An integrated high-voltage distribution unit combines battery contactor and charging interfaces within a single housing.
- Serviceable Battery Pack With Segmented Cell Modules
Segmented cell modules allow independent replacement to extend lithium-ion life and contain thermal risks in serviceable battery packs.
- Battery Cell Prismatic Connectors for Space-Efficient Module Assembly
Bent contact segments form prismatic connectors to eliminate separate bus bars, reducing module complexity and manufacturing costs.
- Voltage Monitoring System Using Encoded Channel Verification
A voltage monitoring system exchanges encoded channel numbers between applications to verify accurate analog-to-digital converter readings.
- Battery State of Energy Estimation Using SOC Discrepancy Charts
Computes battery state of energy from state of charge discrepancies to avoid neural network complexity while accounting for aging effects.
- Hierarchical Bayesian Model for Battery Cycle Life Prediction
A hierarchical Bayesian model classifies cycle life distributions to quantify battery variability and predict adjusted performance.