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Live+1 todayUpdated 46m ago

ZF Debuts Predictive Maintenance Software and Electric Drivelines at Bus2Bus

ZF's Commercial Vehicle Solutions division will showcase new electric drivelines and a driveline condition monitoring software at the Bus2Bus trade fair in Berlin on April 15-16, 2026.

Continuous power

380 kW

Efficiency

94.5%

Event date

April 15–16, 2026

What Happened

At the Bus2Bus trade fair in Berlin, ZF's Commercial Vehicle Solutions division is presenting its latest technologies for safer, smarter, and emission-free bus transportation. The company is debuting a driveline condition monitoring software for its electric portal axle, along with new electric drivelines.

CeTrax 2 dual electric central drive

380 kW continuous powerkW

Delivering at least 94.5% efficiency for demanding long-distance duty cycles.

The new driveline condition monitoring and predictive maintenance software is available for ZF's AxTrax 2 LF portal axle. It analyzes e-drive data to enable early fault detection, improving vehicle availability and lowering total operating costs for fleets and manufacturers.

ZF is also showcasing the next-generation rear driven axle, the A134, designed for higher weight and torque demands of upcoming bus platforms. The axle offers improved energy recovery, reduced weight, and integration flexibility, contributing to higher vehicle efficiency.

Why this matters

These technologies aim to improve bus fleet efficiency, reduce operating costs, and support the shift toward zero-emission public transportation.

Terms in This Story

Driveline condition monitoring
A system that continuously checks the health of a vehicle's driveline components to detect issues early.
Predictive maintenance
Using data analysis to predict when equipment might fail, allowing maintenance before a breakdown occurs.
Recuperation
The process of recovering energy during braking and storing it for later use, common in electric vehicles.
Read Original: ZF

Summarised from the linked release; details can be imperfect — always verify against the original source.