Ampace 21700A Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Ampace 21700A cell for drones, designed for mission feasibility assessments with high energy density and optimal performance.
Value Propositions
Cylindrical 21700 form factor for versatile applications.
Nominal capacity of 14.8 Wh and 4.0 Ah for reliable energy supply.
Top-quartile volumetric power density of 6,628 W/l for high performance.
Gravimetric energy density of 211 Wh/kg, ensuring lightweight solutions.
Maximum continuous discharge of 45 A for demanding applications.
About the Cell
The Ampace 21700A cell features a cylindrical 21700 form factor, providing a nominal capacity of 14.8 Wh (4.0 Ah). With a volumetric energy density of 589 Wh/l, it is designed to meet the rigorous demands of drone applications. The cell boasts a top-quartile volumetric power density of 6,628 W/l, making it suitable for high-performance UAVs. Its gravimetric energy density of 211 Wh/kg ensures that it remains lightweight, which is crucial for drone efficiency. Additionally, the maximum continuous discharge rate of 45 A allows for robust performance under heavy loads, while the maximum continuous charge rate of 8 A supports rapid recharging. Compared to the median values in the database, the Ampace 21700A cell stands out with its impressive metrics, being among the highest in volumetric power density and gravimetric energy density, which are critical for drone battery design and UAV battery pack design.
Application Challenges
In the context of drones, mission feasibility assessment is essential for determining what missions or use cases are viable. This involves evaluating the energy requirements and performance capabilities of the battery cells used. The Ampace 21700A cell, with its high energy density and robust discharge capabilities, addresses the challenge of ensuring that drones can complete their missions effectively. For instance, in scenarios requiring long endurance, the cell's nominal capacity and energy density play a pivotal role in extending flight times. Furthermore, the ability to handle high discharge rates is vital for applications such as heavy-lift drones, where payload and performance are critical. The simulation-based approach to assessing mission feasibility allows operators to make informed go/no-go decisions, significantly reducing the risk of mid-air failures and enhancing operational reliability.
Why this Cell
The Ampace 21700A cell is an excellent choice for drones due to its high energy density and robust performance metrics. With a volumetric energy density of 589 Wh/l, it is positioned in the top-quartile compared to the median of 541.67 Wh/l in the database, making it ideal for applications requiring lightweight and efficient battery packs. Additionally, its maximum continuous discharge rate of 45 A is significantly higher than the median of 30 A, ensuring that it can meet the demands of high-performance UAVs. This capability is crucial for applications that require rapid energy delivery, such as during takeoff or when carrying heavy payloads. The cell's design also facilitates effective thermal management, which is essential for preventing overheating and ensuring safe operation in extreme environments. Overall, the Ampace 21700A cell's specifications align perfectly with the needs of drone applications, particularly in mission feasibility assessments where reliability and performance are paramount.
How Model-Based Design Helps
Simulation and model-based design play a critical role in optimising the performance of the Ampace 21700A cell for drone applications. By modelling load profiles, thermal behaviour, and voltage response, engineers can accurately predict how the cell will perform under various conditions. This approach allows for the assessment of energy consumption across different flight scenarios, enabling the identification of optimal operating parameters. For instance, simulations can help determine the impact of temperature on battery performance, ensuring that drones can operate reliably in cold-weather environments. Furthermore, by analysing the thermal rise and usable energy, designers can select the most suitable cells for specific missions, reducing the risk of mid-air failures and enhancing mission success rates. The ability to conduct go/no-go assessments based on simulation data empowers operators to make informed decisions, ultimately leading to improved UAV mission endurance and efficiency.
