Autonomous Driving Light Truck with the Industry’s Highest Capacity Hits the Road, Backed by a Driverless-Vehicle Giant
Payload: 4.2 tons; cargo volume: 19.32 cubic meters.
Jessica, reporting from the Passenger Seat Temple
Two heavyweight new players have entered the autonomous light-truck market.
Leading autonomous delivery company Westwell has joined forces with commercial-vehicle giant Yutong to launch a driverless light truck: the Westwell Z20.
Unlike small autonomous delivery vehicles, the Z20 is designed for heavier transport duties, primarily serving high-frequency shuttle operations within factory campuses, industrial parks, and large logistics and warehousing centers.
It has a rated payload of 4.2 tons and a cargo volume of 19.32 cubic meters. It can carry six to eight sets of standard pallets at a time, making it the mass-produced autonomous vehicle with the largest cargo capacity and highest payload in the industry to date.
In other words, this is a driverless vehicle that is genuinely beginning to take on industrial transport tasks.
Westwell and Yutong are not alone. Since the beginning of this year, a growing number of companies have been working to apply autonomous-driving capabilities to larger, higher-frequency transport scenarios.
Clearly, this is no coincidence.
What Kind of Autonomous Light Truck Did Westwell and Yutong Build?
Westwell has teamed up with Yutong Light Truck to launch a mass-produced autonomous light truck: the Westwell Z20.
The division of responsibilities is clear: Westwell is responsible for the vehicle’s intelligent systems, including the full-stack L4 autonomous-driving system, perception, planning and control, and multi-vehicle dispatching capabilities.
Yutong Light Truck is responsible for chassis development, manufacturing, quality control, and vehicle consistency.
In terms of product positioning, the Z20 is one of the few high-capacity autonomous light trucks currently available in the autonomous-driving industry.
Its rated payload reaches 4.2 tons—equivalent to the weight of 40 large double-door refrigerators, assuming approximately 100 kilograms per unit. Its maximum authorized gross vehicle weight is 6,950 kilograms.
The cargo compartment has a volume of 19.32 cubic meters, roughly equivalent to the space occupied by 11 large double-door refrigerators placed side by side.
The vehicle can carry six to eight sets of standard pallets at a time. The Z20 is currently the mass-produced autonomous vehicle with the largest cargo capacity and highest payload in the industry.
According to Westwell, the Z20 is primarily designed to address payload capacity and loading and unloading efficiency.
Unlike the RoboVan autonomous delivery vehicles, which previously focused mainly on last-mile delivery scenarios, the Z20 is geared toward high-frequency shuttle transport within factories, industrial parks, and large logistics and warehousing centers.
Its greater payload and cargo space allow the Z20 to move beyond the “small batches, high frequency” transport model typical of earlier autonomous delivery vehicles.
For example, within manufacturing companies, components and industrial materials often need to be continuously moved between different plants, workshops, and warehouses.
If a vehicle lacks sufficient capacity, multiple small vehicles and repeated trips are required to complete the same task. A 4-ton-class autonomous light truck, however, can reduce the number of vehicles and trips by improving the transport efficiency of each vehicle.
In addition to payload, industrial logistics requires vehicles to be capable of stable, long-duration operation. The Z20 has also been specifically designed to address energy replenishment needs.
The vehicle is available with either a 43.47 kWh standard battery or a 77.28 kWh long-range battery.
The long-range version offers a maximum unloaded range of 320 kilometers. It supports 400V high-voltage fast charging, with a 30%–80% charge taking approximately half an hour. This is sufficient for all-day, multi-shift, uninterrupted bulk transfers within a facility, reducing downtime caused by mid-operation charging.
The standard version can replenish 50% of its battery in half an hour, making it better suited to single-shift operations and industrial-park projects involving up to 120 kilometers of continuous daily driving within the site.
Because vehicle downtime directly affects transport efficiency, industrial transport is less concerned with range anxiety than passenger vehicles are. Instead, its priorities are how long a vehicle can work each day and whether recharging will disrupt the production schedule.
To address this, the Z20 also supports slow charging during off-peak nighttime hours, meeting the operational needs of some single-shift factory sites.
However, the truly complex part of autonomous industrial transport is not simply enabling a vehicle to drive itself. Once the vehicle reaches its destination, how the cargo is loaded and unloaded is equally critical to whether the entire process can be automated.
The Z20 is also available in three body configurations: split rear doors, a hydraulic liftgate, and a Class II chassis.
The split-door version is primarily intended for standard on-site transport. The hydraulic liftgate version addresses loading and unloading at sites without fixed loading docks. The Class II chassis provides greater flexibility for subsequent modifications.
These product choices make it clear that the Z20 is not simply a light truck fitted with an autonomous-driving system. Rather, it is an autonomous transport product redesigned around industrial logistics workflows.
This marks Westwell’s first entry into the 4-ton-class autonomous light-truck segment. Building the Z20 with Yutong also represents a further implementation of Westwell’s Zelos Inside model.
Zelos Inside does not mean simply providing a standalone autonomous-driving algorithm. Instead, it offers a complete solution for L4 mass production and commercial operations—something that can be understood as the commercial-vehicle equivalent of Huawei’s HI model.
The solution includes a multi-sensor fusion system, an autonomous-driving domain controller, autonomous-driving software, a vehicle management platform, mobile applications, and supporting operational services.
In simple terms, Westwell aims to provide autonomous-driving capabilities that can be adopted by different commercial-vehicle models, while Yutong is responsible for translating those capabilities into a mass-production manufacturing system.
But this raises a new question:
Westwell has already achieved scale in the RoboVan autonomous-delivery business. Why enter a market for heavy-duty autonomous vehicles that are larger and technologically more challenging?
Why Enter the Heavy-Duty Autonomous-Vehicle Market Now?
Looking at the company’s development trajectory, the launch of the Z20 is essentially an extension of Westwell’s capabilities.
Previously, Westwell primarily focused on RoboVan autonomous delivery vehicles. These vehicles are relatively small and have limited capacity, but they represent one of the product categories to achieve commercialization relatively early in the autonomous-driving industry.
They typically operate in industrial parks, residential communities, and commercial areas, where routes and tasks are relatively stable and autonomous-driving systems can more readily achieve scaled operations.
Westwell has accumulated extensive operational experience in this field. Its business now covers more than 300 cities across 20 countries and regions worldwide. It has accumulated more than 170 million kilometers of real-world L4 operating mileage and delivered more than 25,000 autonomous vehicles for operation.
This operational experience has also laid the foundation for its expansion into more complex vehicle categories.
As autonomous vehicles gradually enter real commercial environments, however, customer needs are changing as well.
Many customers need to solve more than just “last-mile delivery.” They also need to move goods through their production processes.
For example, transporting components within manufacturing companies, shuttling materials through food-production processes, and transferring goods between different areas of large industrial parks all require higher-capacity, more efficient transport vehicles.
At the same time, industrial logistics has reached a point at which autonomous driving is particularly well positioned for commercialization.
Although industrial logistics receives less public attention, its commercial value is relatively clear.
Compared with public roads, factories, industrial parks, and warehouses typically feature fixed routes, stable tasks, and high operating frequency.
Companies can more clearly quantify the value generated by automation—for example, how many hours a vehicle operates each day, how much labor can be reduced, and how much transport efficiency can be improved.
In industrial environments that require nighttime or even round-the-clock operation, driver shortages, labor costs, and the need for continuous operations are all driving companies to seek new forms of transportation.
That is why Westwell has limited the Z20’s initial deployment scenarios to factories, industrial parks, and large warehousing hubs, rather than sending it directly onto urban roads for delivery.
Another factor behind this shift is that the technology and industrial supply chain are gradually maturing.
Compared with small autonomous delivery vehicles, large autonomous vehicles face significantly greater technical challenges.
Their larger size and greater weight mean longer braking distances and larger turning radii. Autonomous-driving systems must detect and make decisions earlier, while also meeting higher requirements for control stability.
To address these changes, the Z20 is equipped with four LiDAR units, 12 ultrasonic sensors, and collision sensors around the vehicle, providing 360-degree perception.
Meanwhile, the large volume of real-world operational data accumulated by Westwell has become an important foundation for expanding into more complex vehicle categories.
In fact, Westwell is not the only company expanding its product line. Since the beginning of this year, an increasing number of autonomous-driving companies have begun focusing on commercial scenarios with greater capacity and higher operating frequency.
Autonomous light trucks, autonomous trucks, port transportation, and mining operations are becoming important components of L4 commercialization efforts.
This also indicates that the autonomous-driving industry has entered a new stage.
Autonomous Driving Enters a New Stage
As the technology gradually moves toward commercialization, companies are beginning to confront a more practical question:
What scenarios should an autonomous-driving system ultimately serve?
Autonomous driving must ultimately be integrated with specific vehicles and business processes, and vehicle requirements vary completely from one scenario to another.
Urban roads require solutions for navigating complex traffic environments. Industrial-park logistics requires solutions for high-frequency transport efficiency. Mines and ports place greater emphasis on continuous operations and operating costs.
One trend gradually taking shape in the industry is that more autonomous-driving companies are moving beyond exploring a single vehicle model and beginning to build product systems around different industrial scenarios.
For example, Robotaxi companies continue to explore urban mobility services; autonomous-delivery companies focus on last-mile logistics; and commercial-vehicle autonomous-driving companies are beginning to develop solutions for long-haul transportation, mining, and industrial logistics.
These directions may appear different, but the underlying logic is converging: autonomous driving needs to enter sufficiently high-frequency, real-world business environments.
For L4 companies, vehicle scale represents not only revenue but also the ability to continuously acquire real-world operational data.
Only by entering real operating environments can vehicles continue to accumulate operational experience. That experience, in turn, drives improvements in system capabilities and supports deployment in additional scenarios.
Different approaches may ultimately lead to different business models, but what will ultimately determine the industry landscape is whether autonomous driving can operate sustainably in the real world.