top of page

MaxAmps MA-8000 Drones Weight v power trade off in pack design - how to pick the right balance.

Discover the MaxAmps MA-8000 cell for drones, optimising weight and power for enhanced performance in UAV applications. Learn more about its capabilities.

Value Propositions

  • Pouch form factor with nominal capacity of 29.6 Wh and 8.0 Ah.

  • Volumetric energy density of 370 Wh/l, top-quartile vs median of 542 Wh/l.

  • Gravimetric energy density of 185 Wh/kg, around median of 210 Wh/kg.

  • Maximum continuous discharge of 180 A, among the highest in the database.

  • Volumetric power density of 8317 W/l, +58% vs database median of 2029 W/l.

cell (45).png

About the Cell

The MaxAmps MA-8000 cell is designed specifically for drone applications, featuring a pouch form factor that allows for a compact and lightweight design. With a nominal capacity of 29.6 Wh and 8.0 Ah, this cell delivers impressive performance metrics. It boasts a volumetric energy density of 370 Wh/l, placing it in the top-quartile compared to the median of 542 Wh/l in the database. The gravimetric energy density stands at 185 Wh/kg, which is around the median of 210 Wh/kg. Furthermore, the cell's maximum continuous discharge rate of 180 A is among the highest recorded, enabling robust performance for demanding applications. The volumetric power density of 8317 W/l is also noteworthy, exceeding the median by 58%, making it an excellent choice for high-energy applications in drones.

Application Challenges

In the realm of drone technology, the challenge of balancing weight and power in battery pack design is critical. The MaxAmps MA-8000 cell addresses this challenge effectively, providing a lightweight solution that does not compromise on energy output. For UAVs, achieving optimal performance often hinges on the ability to extend flight times while managing the weight of the battery pack. This is particularly important in applications such as long endurance missions, where every gram counts. The MA-8000 cell's high energy density allows for longer flight durations, which is essential for tasks like aerial inspections and surveying. Additionally, the ability to manage thermal performance is crucial, as overheating can lead to battery failure and mission interruptions. The MA-8000's design mitigates these risks, ensuring reliable operation in various environmental conditions.

Why this Cell

The MaxAmps MA-8000 cell is particularly suited for UAV applications due to its impressive specifications. With a maximum continuous discharge rate of 180 A, it stands out as among the highest in the database, enabling drones to handle demanding power requirements without overheating. The cell's volumetric energy density of 370 Wh/l is a significant advantage, allowing for a lightweight battery pack that does not sacrifice performance. This is crucial for applications requiring long endurance, such as heavy-lift missions or fixed-wing UAV operations. The MA-8000 also features a gravimetric energy density of 185 Wh/kg, which, while around the median, still provides a competitive edge in the market. By optimising weight and power, this cell ensures that UAVs can achieve their operational goals without the need for excessive redesigns or compromises.

How Model-Based Design Helps

Simulation and model-based design play a vital role in optimising battery selection for drone applications. By modelling load profiles, thermal behaviour, and voltage responses, engineers can accurately predict how the MaxAmps MA-8000 cell will perform under various conditions. This approach allows for the identification of the best cell for specific mission profiles, ensuring that the chosen battery can deliver the required thrust and energy throughout the flight. For instance, simulations can help determine the impact of different discharge rates on battery life and performance, enabling designers to make informed decisions that enhance UAV efficiency. Additionally, understanding thermal dynamics through simulation helps prevent overheating, ensuring that the MA-8000 operates safely within its limits. This predictive capability is essential for mission-critical applications, where reliability and performance are paramount.

bottom of page