4-WHEEL ELECTRIC TRUCK
High Performance and Energy Efficient
An 80V energy-efficient forklift truck series that delivers the highest levels of productivity in heavy-duty internal or external applications.
The VM series of electric counterbalanced forklift trucks delivers equivalent ICE performance which can be matched to suit the application, while ‘e-Balance’ can provide the best of both worlds when required.
With a high residual capacity, the VM electric forklift truck series is the ultimate lift truck for heavy-duty and attachment applications in applications up to 5,500kg:
- Timber, paper and pulp
- Brewing, bottling and distilling
- Metal fabrication
Ergonomic Features That Provide Operator Comfort and Operational Efficiency:
- Designed to provide the most comfortable working environment for operators, the VM series operator compartment has the lowest WBV (Whole Body Vibration) in its class in the industry, contributing to a reduction in back strain and fatigue of your operators
- The ‘heads up’ display keeps operators’ field of vision clear and provides ‘at a glance’ information on truck operating conditions and performance settings
- An adjustable mini-lever module armrest with built-in hydraulic controls, directional switch, emergency disconnect button and warning horn button ensures operators stay in control
Performance Features That Deliver Efficient Handling and High Levels of Productivity:
- Increased articulation from the Yale Extended Steer Axle with CSE (Continuous Stability Enhancement) allows the VM series to manoeuvre in tighter working aisles and operate comfortably over poor ground conditions
- Four performance modes can be accessed through the ‘heads up’ display allowing a business precise application or operator setting to be selected. Additional settings can be set by a Yale service technician
- The YaleStop™ feature is automatically set by the control system so the park brake is always set whenever the truck is stationary. This provides operators with confidence when lifting and loading, or working on gradients