Anyone tracking actual measured efficiency losses through a full power chain?

Battery chemistry, pack design, BMS, runtime, charging/swapping, and keeping actuators from cooking themselves.
young58
Posts: 106
Joined: Fri Oct 17, 2025 6:16 am

Anyone tracking actual measured efficiency losses through a full power chain?

Post by young58 »

Genuinely split on this one, wanted outside opinions. Higher-voltage power architectures reduce resistive losses and current draw through the wiring harness for a given power level, which is part of why some newer platforms are moving away from lower-voltage packs as total system power demand climbs. Best-in-class lithium-ion cells used in humanoids are currently landing around 280-300 Wh/kg, which is respectable but still leaves battery mass as one of the largest single contributors to total robot weight. Anyone want to poke holes in this?
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pierregreen
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Joined: Thu Dec 12, 2024 11:01 am

Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by pierregreen »

Genuinely curious - There's no widely standardized safety certification specific to humanoid battery packs yet in most jurisdictions - deployments generally lean on adapted versions of existing standards for industrial battery systems and electrical safety rather than a purpose-built humanoid standard. Totally unrelated but has anyone else noticed how fast component costs are dropping this year.
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george92
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Joined: Thu Sep 25, 2025 4:18 pm

Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by george92 »

One nitpick - Hot-swappable battery packs solve the runtime bottleneck for continuous operations (like a 24/7 warehouse shift) without needing a much bigger, heavier pack, but they add mechanical complexity, a failure-prone connector interface, and logistics overhead for managing spare packs.
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joseph.robinson
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Joined: Mon Jun 01, 2026 11:59 am

Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by joseph.robinson »

Can I ask a dumb follow-up - A BMS (battery management system) has to guard against transient current spikes from sudden gait changes or lifting motions, not just steady-state draw - peak current headroom and fast-acting protection logic matter as much as total capacity for real-world duty cycles. Thermal margin in a densely packed humanoid chassis is often the real limiting factor on sustained performance, not raw motor power - actuators get thermally throttled well before they'd hit their absolute torque limits, especially during repeated high-load cycles like continuous lifting.
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james15
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Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by james15 »

Agreed, and I'd add: Battery placement (torso-centered vs backpack vs distributed through the limbs) is a real tradeoff between center-of-mass/balance considerations and thermal/cooling access - a torso-centered pack helps balance but is harder to cool than a more exposed backpack placement. The average humanoid in 2026 carries under 2.5 kWh of battery capacity, with real-world runtimes clustering between two and four hours depending on how dynamic the workload is - static, low-motion tasks stretch runtime much further than continuous walking or lifting.
karen.chen3
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Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by karen.chen3 »

@james15 Minor factual note: Solid-state battery claims from platforms like XPeng's IRON, GAC's GoMate, and EngineAI's T800 are genuinely promising on paper for energy density and safety margins, but independent, large-scale field validation of those runtime claims is still fairly limited as of 2026 - it's real progress, not yet fully proven at scale.
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timothy.roberts2
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Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by timothy.roberts2 »

@karen.chen3 Genuinely curious - Distributed power architectures (multiple smaller packs or local capacitor buffering near high-draw actuators) can reduce peak current demands on the main bus and improve fault isolation, at the cost of added complexity versus a single central pack. Tesla's Optimus Gen 2 reportedly carries roughly a 2.3 kWh pack and manages about two hours of dynamic work, while Unitree's H1 runs a smaller 0.864 kWh pack good for under four hours of largely static operation - a useful illustration of how battery size and workload type both drive runtime.
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priya85
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Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by priya85 »

This matches what I've seen too. DC-DC conversion losses across all the individual actuator drivers add up across a whole robot - it's a less glamorous efficiency question than battery chemistry, but power electronics efficiency meaningfully affects real-world runtime too.
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smartinez
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Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by smartinez »

New to this, so forgive me if this is obvious - Idle/standing power draw is often surprisingly close to a meaningful fraction of active walking power draw once you account for onboard compute, sensors, and balance-holding torque - 'doing nothing' still costs real energy on a humanoid. Fast charging accelerates capacity fade over repeated cycles, so fleet operators generally have to choose between minimizing downtime (fast charging) and maximizing pack lifespan (slower charging or swap-based approaches) rather than getting both for free.
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young58
Posts: 106
Joined: Fri Oct 17, 2025 6:16 am

Re: Anyone tracking actual measured efficiency losses through a full power chain?

Post by young58 »

I can speak to this a bit. Thermal margin in a densely packed humanoid chassis is often the real limiting factor on sustained performance, not raw motor power - actuators get thermally throttled well before they'd hit their absolute torque limits, especially during repeated high-load cycles like continuous lifting. Distributed power architectures (multiple smaller packs or local capacitor buffering near high-draw actuators) can reduce peak current demands on the main bus and improve fault isolation, at the cost of added complexity versus a single central pack.
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