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BQ76952_uPi_Hat.kicad_pro with KiCad 8.x or newer..kicad_sch) to inspect signal naming, channel scaling, and LM317 regulator settings; propagate changes into the PCB (.kicad_pcb) via KiCad's Update PCB from Schematic tool.BQ76952_uPi_Hat.csv) when you are ready to order boards or run simulations for your experiments.This board is the hardware platform for a bachelor thesis focused on predicting high-power LED lifetime and scheduling preventative maintenance. It leverages Texas Instruments' BQ76952 BMS front-end to acquire per-LED telemetry with up to 32-bit resolution, enabling precise degradation tracking for as many as 16 LEDs (down to 5 by shorting unused inputs). The design is intentionally scalable: multiple boards can share a single Raspberry Pi Zero host via SPI chip-select fan-out or operate independently over I2C.
BQ76952 monitors every LED string, providing ADC accuracy, protection, and internal diagnostics normally reserved for battery stacks.BQ76952_uPi_Hat.kicad_pro – master KiCad project tying schematic, PCB, and fabrication settings together.BQ76952_uPi_Hat.kicad_sch – complete schematic including LED channels, LM317 LDO, comparator, DIP switch, and interface headers.BQ76952_uPi_Hat.kicad_pcb – board layout optimized for short sense paths and high-current connector routing.BQ76952_uPi_Hat.csv – bill of materials exported for sourcing and documentation.BQ76952_uPi_Hat-backups/ – automatically generated KiCad backup snapshots for traceability between thesis milestones.The design forms the experimental backbone for a bachelor thesis investigating predictive maintenance of high-power LED arrays. It demonstrates how a BMS-grade analog front-end, auxiliary regulation, and human-friendly status cues can be repurposed into a scalable monitoring platform suitable for lab studies and eventual field deployments.
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