Amprius SA88 Drones Maximise flight time - optimise the cell selection, duty cycle and flight speed to maximise flight time.
Explore the Amprius SA88 cell for drones, designed to maximise flight time and optimise performance under challenging conditions.
Value Propositions
Pouch form factor with a nominal capacity of 33.15 Wh and 9.75 Ah.
Volumetric energy density of 777 Wh/l, top-quartile vs median of 542 Wh/l.
Gravimetric energy density of 356 Wh/kg, around median of 210 Wh/kg.
Maximum continuous charge of 100 A, among the highest in database.
Volumetric power density of 7968 W/l, +63% vs database median of 2029 W/l.
About the Cell
The Amprius SA88 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 33.15 Wh and 9.75 Ah, this cell provides a robust energy solution for UAVs. Its volumetric energy density of 777 Wh/l places it in the top-quartile compared to the database median of 542 Wh/l, making it an excellent choice for long endurance drone batteries. Additionally, the gravimetric energy density of 356 Wh/kg is around the median of 210 Wh/kg, ensuring that the cell remains lightweight while delivering substantial power. The maximum continuous charge of 100 A is among the highest in the database, allowing for rapid recharging and efficient energy management during flight. Furthermore, the volumetric power density of 7968 W/l is impressive, exceeding the median by +63%, which is crucial for high energy demands during drone operations.
Application Challenges
In the context of drones, maximising flight time is critical. The ability to optimise cell selection, duty cycle, and flight speed directly impacts the operational efficiency of UAVs. High energy density is essential for extending flight duration, especially in applications such as industrial inspections, where every minute of airtime is valuable. The challenge lies in balancing weight and energy output to prevent overheating and ensure safe operation. As drones operate in various environments, including extreme conditions, the selection of the right battery cell is vital to maintain performance and reliability. The Amprius SA88 cell addresses these challenges with its high energy density and robust thermal management capabilities, ensuring that UAVs can perform optimally without compromising safety.
Why this Cell
The Amprius SA88 cell is ideal for drone applications due to its high energy density and impressive charge capabilities. With a maximum continuous charge of 100 A, it allows for rapid energy replenishment, which is essential for maintaining long flight times. The cell's volumetric energy density of 777 Wh/l is in the top-quartile compared to the median of 542 Wh/l, providing a significant advantage in weight-sensitive applications. This means that UAVs can carry more payload or extend their operational range without increasing battery weight. Additionally, the gravimetric energy density of 356 Wh/kg ensures that the cell remains lightweight, which is crucial for improving UAV mission endurance. The combination of these metrics makes the Amprius SA88 cell a superior choice for drone battery design, enabling engineers to optimise UAV performance effectively.
How Model-Based Design Helps
Simulation and model-based design play a crucial role in optimising battery selection for drones. By simulating load profiles, thermal behaviour, and voltage response, engineers can accurately predict how different cells will perform under various conditions. For instance, modelling the thermal rise and energy output of the Amprius SA88 cell allows for a better understanding of its performance during extended flights. This predictive capability helps in selecting the right cell for specific mission profiles, ensuring that UAVs can achieve their operational goals without the risk of battery overheating or failure. Furthermore, simulation enables the benchmarking of multiple cells, allowing for informed decisions based on real-world scenarios rather than theoretical assumptions. This approach not only improves the reliability of drone operations but also enhances overall mission planning and execution.
