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    Oyu Tolgoi Qiyuan battery swapping: duty cycle insights for mine planners

    March 17, 2026|

    Reviewed by Tom Sullivan

    Oyu Tolgoi Qiyuan battery swapping: duty cycle insights for mine planners

    First reported on International Mining – News

    30 Second Briefing

    Qiyuan Green Power’s battery swapping system at Rio Tinto’s Oyu Tolgoi copper-gold mine has been supporting continuous operation of eight 91 t Tonly DTE145 battery-electric wide-body trucks since October 2025 using 13 interchangeable 800 kWh packs. The containerised swap station enables rapid hot-swaps rather than static charging, reducing truck idle time and avoiding new high-capacity grid connections in the Gobi desert location. For mine planners, the trial provides early operational data on duty cycles, swap frequency and fleet availability for high-payload BEV haulage in large open pits.

    Technical Brief

    • Qiyuan Green Power’s system is integrated specifically with Tonly DTE145 wide-body battery-electric haul trucks.

    Our Take

    Tonly’s role at Oyu Tolgoi links a Tier‑1 copper–gold asset operated by Rio Tinto with the same Chinese wide‑body truck supplier that, in our database, is scaling to 500 all‑electric autonomous units at Inner Mongolia Guangna Coal, signalling that Tonly is becoming a key platform vendor for large‑scale battery haulage in both coal and hard‑rock mining.

    Among our copper‑tagged mining pieces, Oyu Tolgoi is one of the few where battery swapping is being trialled on relatively high‑payload (around 90 t class) trucks, which suggests Rio Tinto is testing electrification solutions that could be transferable to other large open pits in Australia and beyond.

    The combination of 13 x ~800 kWh packs for just eight trucks indicates a deliberate oversizing of stationary energy inventory, a pattern seen in other Tonly deployments in our coverage where extra packs are used to keep utilisation high while allowing for degradation, maintenance and potential future autonomy retrofits.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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