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    EACON battery-electric AHS at Taihe iron ore: design notes for mine power and haulage

    March 10, 2026|

    Reviewed by Joe Ashwell

    First reported on International Mining – News

    30 Second Briefing

    EACON is adding 12 more RTE136 battery-electric autonomous haul trucks to China Baowu Steel Group’s Taihe iron ore mine, expanding what it describes as a zero-emission AHS deployment in a metallic ore operation. The new trucks integrate with EACON’s existing autonomous haulage system, using high-precision positioning and fleet management to coordinate fully electric haulage on established iron ore routes. For mine planners and electrical engineers, the scale-up signals growing requirements for pit power distribution, fast-charging infrastructure, and traffic control tailored to BEV-AHS fleets.

    Technical Brief

    • EACON’s additional RTE136 trucks are being deployed specifically in Baowu’s Taihe open-pit iron ore operation.
    • The expansion is framed by EACON as a zero-emission autonomous haulage application in metallic ore, not coal.

    Our Take

    EACON’s additional RTE136 battery-electric trucks at the Taihe iron ore mine follow a full year of quantified cost and emissions gains at Shougang’s Shuichang Iron Ore Mine, signalling that Chinese iron ore operators are moving from pilot to scaled deployment of autonomous BEV haulage.

    In our database of 1109 Mining stories, EACON is one of the few haulage-automation vendors appearing across both China (iron ore with Baowu and Shougang) and Australia (gold at Norton Gold Fields), which suggests its AHS platform is being validated in contrasting regulatory and geotechnical environments.

    The same EACON AHS stack being trialled on retrofitted Komatsu HD1500 trucks in Western Australia is now being paired with a dedicated BEV fleet in China, giving Baowu’s Taihe iron ore operation an early pathway to mix OEM-agnostic retrofits with new-build electric trucks as it optimises its fleet over time.

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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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