MaxAmps MA-5200 Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Discover the MaxAmps MA-5200 cell for UAV applications, optimising mission feasibility with high energy density and performance metrics.
Value Propositions
Pouch form factor with nominal capacity of 19.24 Wh and 5.2 Ah.
Volumetric energy density of 292 Wh/l, top-quartile vs median of 541 Wh/l.
Gravimetric energy density of 153 Wh/kg, around median of 210 Wh/kg.
Maximum continuous discharge of 234 A, among the highest in database.
Volumetric power density of 13158 W/l, +3% vs database median of 2029 W/l.

About the Cell
The MaxAmps MA-5200 cell is designed with a pouch form factor, offering a nominal capacity of 19.24 Wh and 5.2 Ah. Its volumetric energy density of 292 Wh/l positions it in the top-quartile compared to the database median of 541 Wh/l, making it an excellent choice for applications requiring high energy storage in compact spaces. The gravimetric energy density of 153 Wh/kg is around the median of 210 Wh/kg, indicating a balanced weight-to-energy ratio. Additionally, the cell boasts a maximum continuous discharge of 234 A, which is among the highest in the database, ensuring robust performance during demanding operations. With a volumetric power density of 13158 W/l, this cell is well-suited for high-performance UAV applications, providing the necessary power output for various mission profiles.
Application Challenges
In the context of EVTOL and mission feasibility assessment, the MaxAmps MA-5200 cell addresses critical challenges in drone battery design and UAV battery pack design. The ability to assess what missions or use cases are possible using simulation is vital for ensuring operational reliability. For instance, high energy density is crucial for long endurance drone batteries, allowing UAVs to operate effectively over extended periods without frequent recharging. The lightweight nature of the MA-5200 cell contributes to improved UAV mission endurance, enabling drones to carry heavier payloads while maintaining efficiency. Furthermore, the cell's performance characteristics help prevent overheating, a common issue in high discharge rate UAV batteries, ensuring safe battery packs for UAVs during demanding missions.
Why this Cell
The MaxAmps MA-5200 cell is particularly advantageous for EVTOL applications due to its impressive metrics. With a maximum continuous discharge of 234 A, it is among the highest in the database, allowing for rapid energy delivery when required. The volumetric energy density of 292 Wh/l, which is in the top-quartile compared to the median, ensures that UAVs can achieve longer flight times without increasing weight. This is essential for mission feasibility assessments, where accurate predictions of battery performance under various conditions are necessary. The cell's design also supports effective battery thermal management for drones, reducing the risk of overheating during high-demand scenarios. Overall, the MA-5200 cell is a reliable choice for custom UAV battery packs, optimising both performance and safety.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising the performance of the MaxAmps MA-5200 cell for UAV applications. By modelling load profiles, engineers can predict how the cell will behave under different operational scenarios, including varying temperatures and states of charge (SoC). This predictive capability is essential for mission feasibility assessments, allowing operators to make informed go/no-go decisions based on real-time data. For example, simulations can identify potential voltage sag and thermal rise during high discharge conditions, ensuring that the cell can deliver the required thrust without compromising safety. Additionally, by analysing usable energy across the entire flight envelope, designers can optimise battery weight versus flight time, enhancing overall drone powertrain efficiency. This approach not only improves mission planning but also builds operator confidence in drone readiness, particularly in critical applications.


