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Hybrid page: tool-first + evidence report in one URL

Hub Motor Checker: 46 Magnets Hub Motor Fit, Risks, and Decision Path

This canonical page answers both hub motor and 46 magnets hub motor intent. Run the checker first for an actionable result, then use the report layer to validate method, evidence, and risk boundaries.

Published: April 17, 2026 | Evidence updated: April 17, 2026

46 magnets hub motor checkerkey conclusionsstage1b auditmethods and evidencecomparisonrisk controlsdecision FAQ
Tool layer: immediate magnet-count screening
Enter your hub-motor assumptions and get deterministic output with interpretation, uncertainty, and next action.

Quick starts

Start with the 46-magnet baseline, then change one variable at a time so you can attribute risk changes to a specific assumption.

Typical Br: 1.37-1.42 T. Common SH-grade baseline for traction hubs; keep thermal margin explicit for summer duty.

Alias intent bridge: this tool is designed to directly answer 46 magnets hub motorand keep one canonical route at /learn/hub-motor.
Open main CTA
Result layer: interpreted output and next action
Includes empty/loading/error/boundary states and actionable guidance.
Empty state
Start with the 46-magnet baseline and click the checker button. You will get an explicit fit/caution/high-risk verdict with decision notes.
Visual context for alias merge and geometry
Single URL keeps alias intent and canonical decision flow aligned.
46 magnetshub motor46 poles42 slots23 pole pairs3-phase assumptionpairing map
Hub motor internal structure with stator and magnet ring context
Use a single canonical hub-motor checker to evaluate magnet-count assumptions, risk boundaries, and next actions.

Report summary: key conclusions and key numbers

46 magnets baseline
23 pole pairs

For a 46-magnet hub motor, the electrical frequency rises quickly with wheel rpm, so control strategy and inverter headroom become first-order decisions.

Slot-pole boundary
q = S / (P × m)

Fractional-slot concentrated winding zones can be valid, but low-q combinations increase sensitivity to cogging, ripple, and acoustic variation.

Control pivot
6 sectors per electrical cycle (six-step)

When electrical frequency climbs, six-step commutation ripple becomes harder to ignore and FOC often becomes the practical path.

Thermal gate
margin < 15 C = caution

If modeled hotspot approaches grade limits, result confidence drops and the minimum path is thermal test plus lot-level B-H confirmation.

AudienceSuitable?WhyNot suitable when
Urban commuter e-bike platformSuitable with validation46-pole hubs commonly align with low-to-mid speed requirements when controller and thermal path are matched.Unknown winding quality or uncontrolled thermal duty.
Cargo and delivery continuous dutyConditionalWorks when current and hotspot are controlled with robust cooling and conservative continuous rating.Natural-air only cooling under high ambient with aggressive current targets.
High-speed wheel conceptsConditional to riskyFeasible only when inverter bandwidth, sensing, and mechanical retention are engineered together.Six-step strategy with strict NVH/efficiency constraints above high electrical-frequency zones.
Retrofit with unknown teardown dataNot suitable yetScreening can guide what to measure first.Decision is frozen before confirming pole/slot/grade/thermal facts.
Stage1b research-enhance audit and closure
Blocker/high items are closed in-page before SEO/GEO handoff.
AreaGap foundImpactRepairSeverity
Alias intent coverageOriginal alias-only artifact had no tool interaction.Users searching "46 magnets hub motor" could not get an immediate interpreted answer.Added tool-first checker above the fold with explicit alias anchor and deterministic output.high
Result explanationNo explicit boundary and fallback path for inconclusive runs.Risk of over-trusting a raw number without conditions.Added boundary notes, uncertainty text, and minimum executable next step for each verdict.high
Evidence depthNo source-anchored method or date context.Trust layer and reviewability were weak for technical decisions.Added method flow, source table, date markers, and known-unknown disclosures.medium
Visual decision supportNo structured SVG/data-table representation.Harder to compare options or interpret risk quickly on mobile.Added encoded SVG set (dial, cadence, method, matrix, map) plus comparison and risk tables.medium

Deep layer: method and evidence

Method flow (encoded SVG)
The checker logic is explicit so assumptions and trust limits are auditable.
Input Basispoles, slots, rpmCadence Modelq, Hz, sectors/sThermal + Loadmargin, stress indexActionfit/caution/riskDeterministic stage-1 flow. Final release still needs FEA + bench + supplier lot validation.
Method details

1. Normalize assumptions

Use even magnet count, declared slot count, phase count, target max wheel rpm, and ambient/cooling context.

2. Compute electromagnetic pacing

Derive pole pairs, q-value, electrical frequency, and commutation cadence for the selected control mode.

3. Estimate thermal and load indicators

Estimate torque constant, continuous torque potential, radial-load index, and hotspot margin versus chosen grade.

4. Map to action bands

Convert indicators into fit/caution/high-risk bands with explicit uncertainty and minimum next action.

Applicability boundaries
Use these rows to decide when checker output is reliable and when escalation is mandatory.
BoundaryValid whenFails whenMinimum actionSource
Magnet count parityEven magnet count; checker range 20-80.Odd count or outside range.Correct pole count first, then rerun.R1
Slot-pole-phase q windowq roughly 0.2-0.55 for this stage-1 screen.q below 0.2 or above 0.55 without special design intent.Re-evaluate slot/pole pairing and winding strategy.R1, R2
Commutation pacingElectrical frequency and cadence remain within controller bandwidth.High electrical frequency with six-step mode under strict NVH targets.Switch to FOC or lower target rpm before geometry freeze.R2, R3
Thermal confidenceEstimated thermal margin >= 15 C.Margin below 15 C or hotspot estimate uncertain.Run thermal test + lot-level magnetic curve confirmation.R4, R5
Power-basis consistencyInputs use continuous/rated basis.Peak-only marketing values are mixed into continuous screening.Convert to declared continuous basis first.R6
Evidence table with explicit date context
Time markers are included to reduce stale interpretation risk.
IDSourceKey dataDecision useDate / scope
R1Emetor glossary: slots per pole per phaseDefines q = S / (P × m) and clarifies fractional-slot concentrated winding context.Used for slot-pole risk window and checker q-value interpretation.Accessed April 17, 2026
R2Microchip dsPIC docs, six-step commutation sectionSix-step operation advances in 6 sectors per electrical cycle (60 electrical degrees each).Used for cadence model and control-mode guidance at high electrical frequency.Accessed April 17, 2026
R3TI application brief SLVAEG3 (Hall commutation geometry)Mechanical Hall spacing follows electrical-angle conversion tied to pole count.Used to explain why pole count and controller phasing cannot be separated in commissioning.Published October 2023, accessed April 17, 2026
R4NASA/TM-20230010737 electric machine winding guidanceRound-conductor slot fill is commonly around 35%-55% for first-pass assumptions.Used for manufacturability and thermal-risk boundary when slot fill assumptions are optimistic.September 2023, accessed April 17, 2026
R5Arnold Magnetics NdFeB / SmCo grade overviewPublic grade tables illustrate remanence and temperature-class tradeoffs across NdFeB SH/UH and SmCo families.Used for thermal fallback logic and grade-selection caution.Accessed April 17, 2026
R6UN/ECE Regulation No. 85Defines continuous-style 30-minute power measurement basis for traction-drive comparison.Used to block peak-only inputs from being interpreted as continuous design basis.Accessed April 17, 2026
R7EMRAX 228 datasheet v1.6Publishes both peak (S2) and continuous (S1) ratings explicitly in one datasheet.Used as practical evidence for keeping peak and continuous basis separate in checker input.Version 1.6 March 2025, accessed April 17, 2026

Comparison and alternatives

Architecture comparison table
Compare options on one declared basis before making a sourcing or tooling decision.
OptionStrengthsTradeoffsUse when
46 magnets hub motor (direct drive baseline)Smooth low-speed torque potential, strong regen behavior, compact BOM variants.Electrical frequency can rise quickly at speed, and magnet retention/thermal path must be controlled.Urban e-bike, scooter, or light EV hubs with clear thermal model and FOC-ready controller.
40-magnet hub architectureLower electrical frequency at same rpm, easier controller bandwidth headroom.Can reduce torque smoothness or change winding constraints depending on slot pairing.Programs constrained by inverter switching budget or high-speed wheel targets.
48-magnet hub architectureHigher magnetic event density can help low-speed feel and startup response.Higher electrical pacing pressure and stronger sensitivity to commutation strategy.Low-speed heavy-load duty with robust controller and validated thermal margin.
Mid-drive IPM/PMSM alternativeCan reduce unsprung mass and move thermal load away from wheel hub.Introduces drivetrain complexity, gearbox losses, and packaging differences.When suspension dynamics or high-continuous power density dominates architecture choice.
Live thermal-frequency risk matrix (encoded SVG)
Marker uses current result values when available.
thermal margin axiselectrical frequency axislow margin / high cadence = risk
Result snapshot cards
Torque constant estimate
0.173 Nm/A

Directional estimate for screening only; not a release-level guarantee.

Thermal margin
63.2 C

Below 15 C enters caution gate in this workflow.

Radial-load index
0.854

High or low extremes increase retention and ripple risk.

Risk controls and boundaries

Risk register

Magnet delamination under repeated thermal cycling

Impact: Air-gap damage, torque ripple growth, and potential catastrophic rotor contact in severe cases.

Mitigation: Validate adhesive system at duty-cycle temperature profile and run mechanical overspeed margin tests.

Controller mismatch at high electrical frequency

Impact: Commutation loss, acoustic noise, and lower efficiency near top-speed band.

Mitigation: Run controller-inverter co-validation with electrical-frequency target from checker output.

Over-optimistic slot fill assumptions

Impact: Copper loss and hotspot rise exceed expectation, invalidating nominal torque plan.

Mitigation: Use process-realistic fill assumptions and verify with winding-process capability data.

Peak-vs-continuous basis confusion

Impact: Design appears feasible on paper but fails continuous thermal validation.

Mitigation: Freeze one declared power basis before architecture comparison and supplier shortlisting.

Known unknowns (explicitly not overclaimed)
These are intentionally marked uncertain to avoid false confidence.
TopicStatusDecision impactMinimum executable path
Lot-level irreversible demag curves at actual hotspotPublic catalog values are not enough for final confidence.High impact on overload and abuse-case durability.Request supplier lot data + run elevated-temperature demag verification.
Rotor retention margin at overspeedDepends on adhesive, sleeve, and manufacturing process details.High safety and reliability impact.Mechanical FEA + burst/overspeed test before SOP freeze.
Real road thermal boundary for enclosed hubsVehicle airflow and riding profile create high variance.Medium-high impact on continuous torque promise.Instrumented road cycle + thermal calibration loop.
Long-term supply volatility exposureDepends on contract terms and regional sourcing footprint.Medium impact on cost and lead-time resilience.Dual-source plan with grade fallback and inventory trigger policy.

Scenario examples

Scenario A: 46 magnets commuter hub (72 V, 650 rpm)

Assumptions: 3-phase, 42 slots, FOC control, natural-air cooling, moderate ambient conditions.

Expected outcome: Usually lands in fit/caution boundary depending on current target and thermal margin.

Scenario B: Cargo duty continuous climb

Assumptions: Higher current, lower rpm, elevated ambient, long duty period.

Expected outcome: Thermal margin often becomes the dominant risk trigger even when q-value looks acceptable.

Scenario C: High-speed performance wheel

Assumptions: Near 1000 rpm wheel speed and high bus voltage target.

Expected outcome: Electrical frequency and controller pacing become first-order constraints.

Scenario D: Unknown teardown data retrofit

Assumptions: Missing confirmed slot count, grade, and hotspot behavior.

Expected outcome: Output should be treated as directional only; minimum path is teardown + measurement.

Related internal routes

Continue decision depth
Keep one canonical hub-motor URL while linking to adjacent decision topics.
Do magnets in a brushless hub motor have polarity?

Use when troubleshooting polarity/assembly direction before rebuild.

12 pole magnets 9 coil stator checker

Use when slot-pole commutation questions dominate design iteration.

Interior permanent magnet motor checker

Use for mid-drive/IPM alternatives and higher-speed architecture tradeoffs.

Axial flux motor magnets hybrid page

Use when topology migration beyond radial hub architecture is under review.

FAQ for decision intent

Magnet count and winding basics

Control and thermal decisions

Decision, risk, and next action

Final CTA: move from checker result to engineering execution
Share your target speed map, thermal assumptions, and constraints. We can convert this stage-1 screen into supplier-ready validation tasks.
Re-run checker46 magnets hub motor anchor

Inquiry Email

[email protected]

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Stage1c self-heal gate status
blocker = 0, high = 0, medium = 2, low = 1 after in-page repair pass.

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high

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