--- title: "Qualification" canonical: "https://anchor.is/the-hysteresis/issue/1/qualification" publication: "The Hysteresis" publisher: "The Hysteresis" language: "en-US" guide: "https://anchor.is/the-hysteresis/llms.txt" permalink: "https://anchor.is/the-hysteresis/issue/1/qualification" issue: 1 section: "qualification" description: "Pack-level requirements, test conditions, and standards by application" authors: ["Ronan Adike"] published: 2026-05-25 updated: 2026-09-12 articles: 18 --- # The Hysteresis > The Hysteresis exists to give a small cross-functional team — strategy, investment, and procurement — a shared weekly instrument for reading the battery supply chain earlier than consensus. Success means the team consistently identifies inflection points in cell pricing, supplier health, and policy enforcement weeks or months before they surface in earnings calls, annual surveys, or trade press. The commercial mechanism is internal-first: the publication proves itself as a decision tool inside the organization, then extends to paid subscribers and a practitioner community as upside. Revenue follows utility — if the team makes better-timed procurement calls and competitive assessments because of what they read here, the publication earned its place. [Read on the website]() ## Issue 1 — Qualification Pack-level requirements, test conditions, and standards by application ### Performance Standards Map - [The Standards Map — Performance Parameters Across Applications]() — By [Ronan Adike]() · Published 2026-09-11 · Format: The Standards Map Safety rows in a DVP usually have a threshold to look up. Performance rows usually don't. Across eVTOL, drones, humanoid robotics, and UUV, published standards govern how cycle life, C-rate, energy density, temperature envelope, SOH endpoints, and reserve policy get tested, then hand the numeric acceptance value back to the program. This cross-application map covers all six parameter classes, cites what exists at the clause level, and names every gap where the engineering team is setting the threshold rather than inheriting one. ### Parameter Coverage Grid Six parameter classes define the performance layer of a pack-level DVP: cycle life, charge rate, energy density, temperature envelope, SOH retirement threshold, and reserve energy. The grid below maps each to its public-standard status across eVTOL, drones, humanoid robotics, and UUV as of September 11, 2026. Energy density and reserve energy are gap across all four applications. Temperature is the only parameter with any partial public anchor, and that anchor is a test condition, not an operating limit. Drones show the most standards activity, but numeric thresholds sit behind paywalls — the standard exists, the number your DVP row needs does not exist in public text. Where a cell reads "Gap," the DVP owner defines the value, documents the derivation basis, and names an accepting authority. Where it reads "Split," standards govern the test framework but acceptance criteria require licensed-text verification before a DVP entry is defensible. Last verified: September 11, 2026. - **Cycle Life Settled Only Where Text Is Paywalled** — [Source]() — Published 2026-09-11 Tag: Cycle Life eVTOL: Gap. FAA PL.2430 and EASA MOC-3 specify no cycle count. Drones: Split. ASTM F3005-22, ISO 24352, and GB/T 46460-2025 govern testing; numeric acceptance criteria locked in licensed text. Humanoid: Gap. UUV: Gap. All four applications require program-derived values for DVP closure. - **Safety Constraints on Charging Exist, C-Rate Limits Do Not** — [Source]() — Published 2026-09-11 Tag: Charge Rate eVTOL: Gap. PL.2430(c) requires safe recharging but states no C-rate. Drones: Split. ASTM F3005-22 and GB/T 46460-2025 address charge rate; thresholds paywalled. Humanoid: Gap. UUV: Gap. ABS mandates BMS charge control without specifying a rate ceiling. - **No Standard Sets Energy Density for Any Application** — [Source]() — Published 2026-09-11 Tag: Energy Density Gap across eVTOL, drones, humanoid robotics, and UUV. Published analyses cite 300-600 Wh/kg (gravimetric) for 300 km eVTOL range (Yang et al., Joule, 2021). These are engineering modeling targets, not certification requirements. Every DVP entry here is program-derived. - **Temperature Is the Only Parameter With Partial Anchor** — [Source]() — Published 2026-09-11 Tag: Temperature Envelope eVTOL: Partial. EASA MOC-3 specifies 55 degrees C test stabilization for thermal-runaway initiation — a test condition, not an operating envelope. Drones: Split. Standard clauses paywalled. Humanoid: Borrowed from IEC 62619 or IEC 62133-2. UUV: Program-defined from mission depth-temperature profile. - **SOH Monitoring Required, Retirement Threshold Undefined Everywhere** — [Source]() — Published 2026-09-11 Tag: State Health eVTOL: Gap. EASA MOC-4 requires aging consideration; no SOH endpoint published. Drones: Split. Capacity retention metrics exist in GB/T 46460-2025 and ASTM F3005-22; specific thresholds paywalled. Humanoid: Gap. UUV: ABS sections 10/11.5.4 mandate SOH monitoring; replacement threshold is program-defined. - **Reserve Energy Lacks a Public Standard in Every Application** — [Source]() — Published 2026-09-11 Tag: Reserve Energy eVTOL: Gap. Yang et al. (Joule, 2021) confirmed no official reserve regulation; FAA section 91.151 30-minute fuel reserve does not apply to powered-lift. Drones: Gap — operational SOP, not a battery standard. Humanoid: Gap. UUV: Gap. Emergency ascent reserve is mission-critical but program-defined. ### Characterization Sources - **A Battery Dataset for Electric Vertical Takeoff and Landing Aircraft** — [Source]() — Published 2026-09-11 Open cycling dataset: 22 NCA/graphite-SiO2 18650 cells cycled under a parameterized eVTOL mission profile (5C takeoff/landing, 1.48C cruise) with single-variable sweeps. Supplies mission-profile geometry and degradation-variable ranking for DVP scoping. Cell-level only; contains no acceptance thresholds, no pack-level behavior, no safety test evidence. DVP boundary? Cell-level degradation from 22 cells, one chemistry, OFAT design, with voltage/temperature end criteria rather than SOH-based endpoints. Scope-creep risk? 74+ citing papers have gradually treated this notional mission profile as a de facto C-rate requirement. Trace provenance before citing. - **Leading the Pack: Next-Generation Batteries for Humanoid Robotics** — [Source]() — Published 2026-09-11 Peer-reviewed review quantifying energy storage gaps for humanoid robots: current packs deliver roughly 3 kWh against a 10-20 kWh swapless-shift target. Maps pack-level constraint domains (TMS, BMS, hot-swap, structural integration) and provides engineering design targets. Contains no acceptance criteria, abuse-tolerance parameters, or governing standard references. DVP value? Peer-reviewed rationale documenting why specific humanoid DVP rows remain program-defined, usable as a citable basis for gap documentation. What's absent? Cycle-life thresholds, C-rate requirements, shock/fall profiles, and hot-swap interlock specs. The void is identified but unfilled. - **High-Power Lithium-Ion Battery Characterization Dataset for Stochastic Battery Modeling** — [Source]() — Published 2026-09-11 Classifies "high C-rate" as 3C and above, then demonstrates that publicly available cycling datasets in that range are scarce. Directly contextualizes the Bills eVTOL dataset: its 5C takeoff/landing phases sit in the thinnest region of the public data landscape, where degradation mechanisms may diverge from lower-rate characterizations. Why does this matter? Confirms that DVP teams citing Bills' 5C aging data are working from one of very few public high-rate degradation sources. Cross-validation gap? The scarcity of independent high-C-rate datasets means eVTOL mission-profile aging results are difficult to corroborate externally. - **Massively Distributed Bayesian Analysis of Electric Aircraft Battery Degradation** — [Source]() — Published 2026-09-11 Independent Bayesian re-analysis of the Bills eVTOL dataset. Confirms the NCA/graphite-SiO2 electrode chemistry and extracts degradation-mode trajectories, adding analytical depth to the raw cycling data. Functions as a model-development foundation while inheriting every parent-dataset limitation for DVP generalization. Analytical addition? Independently verified Bills cell chemistry and applied degradation-mode decomposition, giving DVP teams a second interpretive layer on the same data. Inherited constraints? Re-analysis carries forward the same 22 cells, single chemistry, and cell-level-only scope as the parent dataset. ### Binary vs. Mission-Defined - [Why performance thresholds resist standardization]() — By [Ronan Adike]() · Published 2026-09-11 Safety tests have binary outcomes: thermal runaway either propagates or it does not. Fire either escapes containment or it does not. A standards body can prescribe these criteria without knowing the mission, because "hazardous event" is independent of vehicle architecture. [IEC 62619:2022](https://webstore.iec.ch/en/publication/76174) covers safe operation entirely and contains no cycle-life minimum, no C-rate floor, no energy-density threshold. EASA [MOC-3 SC-VTOL Issue 2](https://www.easa.europa.eu/en/downloads/136701/en) specifies no-propagation observations directly. ### Performance Research Trail - **Open eVTOL Cell-Cycling Dataset with Flight-Phase-Resolved Profiles: 5C Takeoff, 1.48C Cruise** — [Source]() — Published 2026-09-11 Only publicly available cycling dataset structured by eVTOL flight phase; usable for DVP preconditioning protocol inputs. - **Bayesian Degradation Decomposition over 21,392 eVTOL Cycles Identifies DOD as Primary Aging Driver (r = −0.821)** — [Source]() — Published 2026-09-11 Quantifies DOD, C-rate, and temperature contributions to capacity fade; provides degradation-sensitivity inputs for DVP worst-case sizing. - **UAV Pack Reliability Framework: 500-Cycle/80% Retention Target, Thermal Runaway Warning Thresholds, MTBF by Jurisdiction** — [Source]() — Published 2026-09-11 Cross-jurisdiction synthesis of drone pack cycle-life, safety, and reliability benchmarks; Tier 3 source, not a governing standard. - **AUV Field-Trial Power Profiles Fill the Absence of Standardized Subsea Drive Cycles** — [Source]() — Published 2026-09-11 Three peer-reviewed AUV mission power profiles from field data; only structured subsea drive-cycle source for DVP inputs. - **Archer Midnight Pack Simulation: 27.5% End-of-Flight SOC vs. 30% Stated Minimum at Beginning of Life** — [Source]() — Published 2026-09-11 BOL energy-reserve margin already below stated floor before aging; flags DVP end-of-life SOC planning risk. - **Electric Aircraft Range–Degradation Tradeoff Quantified: Each Added Nautical Mile Costs 8–23 Days of Pack Service Life** — [Source]() — Published 2026-09-11 Four-aircraft-type sensitivity analysis linking mission range to calendar life; informs DVP preconditioning severity selection. ## Other sections in Issue 1 - [Signal]() - [China]() - [Korea]() - [The Log]() - [Defense]() ## More - [Publication guide]() - [Issue archive]()