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    Weichai LOVOL LT105E electric mining trucks: haulage design notes for planners

    July 9, 2026|

    Reviewed by Tom Sullivan

    Weichai LOVOL LT105E electric mining trucks: haulage design notes for planners

    First reported on International Mining – News

    30 Second Briefing

    Weichai’s LOVOL has delivered a fleet of LT105E pure electric wide-body mining trucks in China, each with a 70 t payload, targeting operations driven by the national dual carbon strategy of peak emissions before 2030 and carbon neutrality by 2060. The LT105E trucks use a pure battery-electric drivetrain rather than diesel or diesel–electric hybrids, eliminating tailpipe emissions at the pit. For mine planners and haulage engineers, the move signals accelerating adoption of high-payload BEVs on short- to medium-haul routes where grid access and charging infrastructure are viable.

    Technical Brief

    • LT105E units adopt a wide-body configuration, optimised for high-volume overburden and ore haulage.
    • Pure electric powertrain removes onboard diesel engines, simplifying driveline layout and undercarriage packaging.
    • Battery-electric architecture enables full torque from standstill, beneficial for steep ramp haul profiles.
    • Regenerative braking on downhill segments can materially reduce net energy draw on short-cycle routes.
    • Absence of exhaust systems and fuel tanks frees space for larger battery packs or structural reinforcement.
    • Electric trucks reduce underground or pit ventilation demand where deployed in confined or deep excavations.

    Our Take

    Taken together with the recent delivery of LOVOL Heavy Industry’s FR2000F hydraulic mining excavator in China, this LT105E rollout suggests Weichai is building a vertically integrated, in-house truck–shovel fleet offering for domestic open-pit mines.

    A 70 t pure electric wide-body truck class is well suited to China’s numerous small to mid-scale open pits and quarry-style operations, implying that decarbonisation of haulage there may advance faster in these segments than in ultra-class truck fleets.

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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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