Tonly DTE95 battery electric truck at Steinexpo: haulage design notes for planners
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Tonly Heavy Industries has presented its 70 t-class DTE95 battery electric wide-body dump truck at Steinexpo 2026 in the MHI basalt quarry at Homberg, Germany, signalling a push into the European quarrying and mining market. The Xi’an-based OEM is targeting quarry haulage with a fully electric platform rather than diesel–electric hybrids, positioning the DTE95 for short, repeatable cycles typical of basalt and aggregate operations. For mine planners, the key question will be matching truck duty cycles and charging infrastructure to existing pit layouts and power availability.
Technical Brief
- DTE95 is configured as a wide-body dump truck in the 70 t payload class.
- Xi’an-based Tonly Heavy Industries is explicitly targeting European deployment as part of its globalisation strategy.
- Event positioning at a leading European quarrying and mining show gives direct access to fleet decision-makers.
- For similar mining operations, adoption hinges on integrating such BEVs into existing maintenance and operator training regimes.
Our Take
Tonly Heavy Industries’ move to show a 70 t‑class battery electric truck in Germany aligns with its recent push into ‘green’ and unmanned haulage from China, suggesting the company is now testing European quarry conditions as a proving ground for its low‑carbon wide‑body designs.
The Steinexpo 2026 deployment at the MHI basalt quarry gives Tonly a live European reference site, which could be important when marketing against established OEMs in our wider Mining database that dominate diesel haulage in Europe.
Taken with the framework agreement to supply 800 autonomous trucks to Xinjiang Hanxiang, the DTE95 demonstration indicates Tonly is positioning its wide‑body platform to span both autonomy and full battery electrification, which may appeal to contractors seeking a single supplier for staged decarbonisation of haul 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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