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Re: Anyone using phase-change materials for actuator thermal buffering?

Posted: Sun Aug 30, 2026 11:59 am
by sven.smith4
@samuel.campbell8 Yeah, this tracks with what I've read as well. 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. 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.

Re: Anyone using phase-change materials for actuator thermal buffering?

Posted: Sun Aug 30, 2026 11:59 am
by brenda52
@sven.smith4 Here's the relevant bit as far as I understand it: 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.

Re: Anyone using phase-change materials for actuator thermal buffering?

Posted: Sun Aug 30, 2026 11:59 am
by dorothy_kuma
This matches what I've seen too. 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.

Re: Anyone using phase-change materials for actuator thermal buffering?

Posted: Sun Aug 30, 2026 11:59 am
by carol.robinson
@dorothy_kuma Same conclusion I've come to. Also worth noting: 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. 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.