G3’s first XCMG XDE130 in Brazil: fleet design and sourcing notes for mine planners
Reviewed by Tom Sullivan

First reported on International Mining – News
30 Second Briefing
Mining services contractor G3 Mineração e Construção has completed assembly of Brazil’s first XCMG XDE130 diesel-electric rigid haul truck, marking the local debut of XCMG’s 130 t-payload class in the country. The company frames the investment as central to its 2025 growth plan, targeting higher fleet performance through large-capacity, diesel-electric haulage rather than conventional mechanical-drive trucks. For mine operators, the move signals growing competition to established OEMs in Brazil’s ultra-class segment and potential alternative sourcing for high-payload truck fleets.
Technical Brief
- Local assembly implies in-country support for high-voltage diesel-electric drive and control systems.
- Diesel-electric configuration is suited to high ramp gradients and longer hauls typical of Brazilian open pits.
- Fleet planning at G3 can now consider fewer, higher-payload units for the same material movement targets.
- Maintenance regimes will need adaptation to traction alternators, wheel motors and associated power electronics.
Our Take
XCMG’s presence in Brazil via G3 Mineração e Construção mirrors its recent push into other emerging mining hubs, such as India and Guinea’s Simandou iron ore project, signalling a deliberate strategy to challenge incumbent haul truck OEMs in non‑OECD markets.
With several recent pieces in our database highlighting XCMG’s diesel-electric and battery-electric haul truck deployments in Australia and at Simandou, the Brazil assembly suggests the company is building a global reference base that could make it easier for local contractors like G3 to secure future OEM support and financing.
For Brazilian miners, having XCMG trucks assembled locally by a services contractor rather than directly by the OEM may lower entry barriers for mid-tier operators, who can leverage G3’s integration and maintenance capability instead of building in-house large-fleet expertise from scratch.
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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