Scania and LKAB electric 8×4 tipper: haulage design lessons for mine engineers
Reviewed by Joe Ashwell
First reported on International Mining – News
30 Second Briefing
Scania and LKAB have deployed a new fully electric 8×4 heavy tipper with two steerable front axles into underground haulage at LKAB’s Malmberget iron ore mine in northern Sweden, the first truck of this configuration in Scania’s global fleet. The unit, nicknamed “Sleipner”, is being trialled in production conditions to handle heavy ore and waste movements on ramp and level haul routes traditionally served by diesel trucks. The collaboration is intended to validate battery-electric performance, charging logistics and driveline durability in deep, confined mining environments.
Technical Brief
- Electric driveline removes diesel exhaust, easing compliance with underground air quality and ventilation constraints.
- Regenerative braking on declines can recover energy on laden ramp hauls, reducing net power demand.
- Battery-electric operation shifts “refuelling” to fixed charging bays, affecting traffic management and queue design.
- Noise reduction from electric haulage benefits communication, ground support installation and operator fatigue underground.
Our Take
Among the 219 Mining stories in our database, iron ore items rarely focus on on-road haulage electrification, so Scania’s heavy 8x4 tipper at LKAB’s Malmberget site marks an early real-world test case for high-GVW battery trucks in cold-climate mining logistics.
Northern Sweden features in several sustainability-tagged pieces as a proving ground for low-carbon iron ore value chains, and integrating fully electric tipper trucks into Malmberget’s operations is likely to complement LKAB’s broader push toward fossil-free pellet and steel feedstock.
The 8x4 configuration with dual steerable front axles signals that OEMs like Scania are targeting mine-adjacent public or semi-public roads rather than only in-pit haulage, which could let operators decarbonise short- to medium-haul ore movements without waiting for full-scale autonomous rigid truck fleets.
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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