Electric Heavy Truck Lab: Exploring the Physics of Freight Transport

Understanding the Payload-Range Curve

The payload-range curve is a fundamental concept in understanding the operational limits of electric long-haul trucks. It illustrates how the weight of cargo (payload) affects the range of the vehicle, which is crucial for logistics and transportation planning. The curve typically shows that as more payload is added to the truck, its overall weight increases, reducing the energy efficiency and thus decreasing the range per kilowatt-hour of battery capacity.

This relationship is governed by the laws of physics, particularly the conservation of energy and the principles of electrical circuits. As the truck's weight increases, so does the road load, which in turn requires more energy to be expended for each mile traveled. This effect becomes even more pronounced on hills or inclines, where additional power is needed to overcome gravitational forces.

Regeneration and Energy Recovery

Regeneration systems are a key feature in electric heavy trucks, designed to recover some of the energy lost during braking. When a truck descends hills or brakes, its kinetic energy is converted back into electrical energy by the regenerative braking system. This recovered energy can be stored in the battery and used later, effectively extending the range of the vehicle without increasing the size of the battery.

The efficiency of regeneration systems is influenced by factors such as the truck's weight, speed, and the steepness of the terrain. In the simulation, you can observe how different driving conditions affect the amount of energy recovered through regenerative braking, providing insights into optimizing driving behavior for maximum range.

Charging During Driver Breaks

During mandatory driver breaks, electric trucks have an opportunity to recharge their batteries. The duration and efficiency of these charging sessions are critical in maintaining the truck's operational readiness. In the simulation, you can explore how various charging methods—such as rapid chargers or slower overnight chargers—affect the overall range and logistics of long-haul operations.

The choice of charging method depends on factors like the availability of charging infrastructure along the route, the cost of electricity, and the time constraints imposed by regulatory requirements. Efficient use of these breaks can significantly impact the total operational costs and environmental footprint of electric trucking.

Optimal Battery Size Search

Finding the optimal battery size for an electric heavy truck is a complex task that involves balancing multiple factors, including payload capacity, range requirements, and cost. The simulation allows you to search for this optimal balance by adjusting the battery size and observing its impact on the overall performance of the vehicle.

This process often requires trade-offs between different parameters. For instance, larger batteries can increase the range but also add significant weight, which in turn reduces efficiency. Conversely, smaller batteries may not provide sufficient range to complete long-haul journeys without frequent stops for charging.

Frequently asked questions

Try it live

Everything above runs in your browser — open Electric Heavy Truck Lab: Payload, Range, Hills and Regeneration and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.