Raw data and analysis code for: Energy cost and return of a dual-mode thermoelectric thermal management system for a large-format prismatic LiFePO4 cell

Raw measurement data and analysis code for the article Energy cost and return of a dual-modethermoelectric thermal management system for a large-format prismatic LiFePO4 cell: anexperimental audit with Monte Carlo uncertainty analysis (submitted). A prismatic LiFePO4 cell (30 Ah rated) was discharged at 10, 20 and 30 A in sixconfigurations: natural convection (C1), enclosure with unpowered thermoelectric modules without andwith thermal interface material (C2a, C2b), forced air (C3), twelve TEC1-12706 modules powered at 36 Vas a cooler (C4), and the same modules on a 507 Ω load as a generator (C5). Contents. data/: unmodified instrument exports, one folder perconfiguration — surface temperatures T1–T4 (UNI-T UT325F, type K, 5 s), cell voltage(UNI-T UT61E+, 1 s; C3 and C4 only) and generator load voltage and current (UNI-T UT61E+, 1 s; C5).code/: Python scripts that reproduce every number, table and figure of the article and ofits Supplementary Material, including a Monte Carlo propagation of uncertainty (JCGM 101:2008) withfirst-order Sobol sensitivity indices, and a check of about 110 printed values against the recomputedones. Supplementary_Material.docx: Notes S1–S6, Tables S1–S4, Figs. S1–S4. Use. Install Python 3.10+ with numpy, pandas, matplotlib, openpyxl, xlrd and(optionally) python-docx, unpack the archive, and run python run_all.py incode/. See code/README.md. Known limitations of the data (see Section 3.7 of the article): one run percondition; ambient temperature not logged; TEC supply power not logged; cell voltage sensed at theload terminals. Data: CC BY 4.0. Code: MIT licence.