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🔁 Replication Protocol

This document provides the hardware configuration, calibration notes, and environmental conditions necessary to replicate or extend this study.


Contents

  1. Hardware Configuration
  2. Environmental Conditions
  3. Calibration Notes
  4. Sampling Characteristics
  5. Replication Checklist
  6. Known Limitations
  7. Extending This Study

1. Hardware Configuration

1.1 Battery Bank

Component Specification
Chemistry LiFePO₄ (Lithium Iron Phosphate)
Configuration 4S (4 cells in series) × parallel blocks
Nominal Voltage 12.8V (3.2V/cell × 4)
Capacity 500Ah nominal
Brands Mixed (architectural immunity test)
BMS Yes (cell-level protection)

1.2 Voltage Monitoring

Component Specification
Sensor Shelly Plus Uni
Input Range DC voltage (0–30V)
Resolution ~10 mV (ADC-limited)
Connection Direct to bus terminals
Firmware Stock (Eco Mode enabled Dec 23, 2025)

[!NOTE] Eco Mode reduces power consumption but triggers a device reboot when toggled. The transition on Dec 23, 2025 ~15:40 local correlates with observed spread changes.

1.3 Data Logging

Component Specification
Platform Home Assistant
Database InfluxDB (optional; SQLite default)
Logging Mode State-change only (no fixed polling)
Export Format CSV via History panel

1.4 Temperature Sensor

Component Specification
Type Generic digital temperature sensor
Location Basement, ~3 ft from battery bank
Added Dec 29, 2025
Resolution ~0.1°F

2. Environmental Conditions

Parameter Value
Location Basement (below grade)
Temperature Range 51.5°F – 55.95°F (Dec 29 – Jan 31)
Mean Temperature 54.1°F
Daily Temperature Swing 0.6°F – 2.0°F (mean 1.4°F)
Humidity Not measured (typical basement levels)
Ventilation Passive (no forced air)
Light Exposure Minimal (enclosed space)
Geographic Region New England, USA

[!TIP] The narrow temperature range (Δ4.5°F) limits temperature-voltage analysis but provides stable baseline conditions for drift characterization.


3. Calibration Notes

3.1 Voltage Sensor

The Shelly Plus Uni was used with factory calibration (no user adjustment).

Known characteristics:

For improved accuracy:

3.2 Temperature Sensor

Factory calibration assumed. No cross-reference against calibrated thermometer was performed.

Recommended improvement:


4. Sampling Characteristics

4.1 Hourly Data

Parameter Value
Method Home Assistant min/max aggregation
Cadence 1 sample/hour (aggregated)
Timezone Local (EST/EDT)
Format CSV with Date, Time, Min, Max columns

4.2 High-Frequency Data

Parameter Value
Method State-change logging
Observed Cadence ~3 seconds median
Mean Interval ~10 seconds (gaps inflate average)
Timezone UTC (ISO 8601)
Format CSV with entity_id, state, last_changed

Gaps occur when:


5. Replication Checklist

5.1 Hardware Setup

5.2 Configuration

5.3 Data Collection

5.4 Analysis


6. Known Limitations

6.1 Measurement Limitations

Limitation Impact Mitigation
Single-channel measurement No per-cell visibility Add per-cell sensing for definitive immunity confirmation
State-change logging Misses stable periods Use fixed-interval logging for spectral analysis
10 mV ADC quantization Limits fine detail Higher-resolution ADC or smoothing (MA-60s)
No direct current measurement SOC uncertainty Add calibrated shunt for direct measurement

6.2 Data Gaps

Gap Type Cause Handling
Stable voltage periods State-change logging behavior Expected; account in cadence calculations
Sensor reboots Eco Mode, power loss Note timestamps; exclude transition periods
Export delays Manual export process Establish regular export schedule

6.3 Environmental Limitations

Factor Limitation Impact
Narrow temperature range Δ4.5°F over study period Limits temperature coefficient precision
No humidity data Not measured Cannot assess humidity effects
Single location Basement only Results may differ in other environments

7. Extending This Study

Enhancement Benefit Complexity
Per-cell voltage monitoring Confirms/refutes architectural immunity at cell level Medium
DC current shunt Direct parasitic draw measurement; eliminates SOC uncertainty Low
Higher-resolution ADC Reduces quantization noise Medium
Fixed-interval logging Eliminates gaps; enables FFT/spectral analysis Low
Humidity sensor Environmental correlation Low
Multiple temperature points Thermal gradient analysis Low

7.2 Priority Order

  1. DC current shunt — Highest value, lowest complexity
  2. Fixed-interval logging — Low effort, enables new analyses
  3. Per-cell voltage — Definitive architectural immunity test
  4. Higher-resolution ADC — Diminishing returns vs. complexity

7.3 Adapting for Different Hardware

If replicating with different hardware:

# Update these in lifepo4_analysis.py

# File paths
VOLTAGE_FILE = 'path/to/your/voltage_data.csv'
TEMP_FILE = 'path/to/your/temperature_data.csv'

# Column names (adjust to your export format)
VOLTAGE_COL = 'voltage'  # or 'state', 'value', etc.
TIMESTAMP_COL = 'timestamp'  # or 'last_changed', 'datetime', etc.

# Date parsing (adjust format string)
DATE_FORMAT = '%Y-%m-%d %H:%M:%S'  # or '%d/%m/%Y %H:%M', etc.

# Timezone handling
TIMEZONE = 'America/New_York'  # or 'UTC', 'Europe/London', etc.

# Stasis period (adjust to your monitoring timeline)
STASIS_START = '2025-11-22'
STASIS_END = '2026-02-21'

7.4 Sharing Your Results

If you replicate this study, please consider:

  1. Sharing your data — Submit via Pull Request (see CONTRIBUTING.md)
  2. Opening a Discussion — Share observations and findings
  3. Citing this study — Use the provided citation format

See Also