TerraE 32P Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the TerraE 32P cell for drones, designed for mission feasibility assessments with high energy density and optimal performance in challenging conditions.
Value Propositions
Cylindrical 18650 form factor for versatile applications.
Nominal capacity of 11.1 Wh and 3.0 Ah for reliable performance.
Top-quartile volumetric energy density of 630 Wh/l for extended flight times.
Maximum continuous discharge of 30 A, ensuring robust power delivery.
Gravimetric power density of 2312.5 W/kg, ideal for high-demand UAV applications.
About the Cell
The TerraE 32P cell features a cylindrical 18650 form factor, making it suitable for a variety of drone applications. With a nominal capacity of 11.1 Wh and 3.0 Ah, it provides reliable energy storage for demanding missions. The cell boasts a volumetric energy density of 630 Wh/l, placing it in the top-quartile compared to the database median of 542 Wh/l, which is crucial for long endurance drone batteries. Additionally, its maximum continuous discharge rate of 30 A positions it among the highest in the database, ensuring that it can handle high power demands without compromising performance. The gravimetric energy density of 231.25 Wh/kg is also noteworthy, providing a lightweight solution for UAV battery packs. Overall, the TerraE 32P is engineered for optimal performance in various drone applications, making it a preferred choice for UAV battery pack design.
Application Challenges
In the context of drones, the mission feasibility assessment involves determining what missions or use cases are viable based on the drone's battery capabilities. The TerraE 32P cell's specifications are critical in this regard, as they directly influence the drone's operational range and endurance. For instance, the high volumetric energy density allows for longer flight times, which is essential for applications such as industrial inspections or survey missions. Furthermore, the ability to maintain a maximum continuous discharge of 30 A is vital for ensuring that drones can perform demanding tasks without risking battery failure. The challenge lies in accurately predicting the drone's performance under various conditions, including temperature fluctuations and varying payloads, which can significantly impact battery efficiency and mission success. Therefore, understanding the capabilities of the TerraE 32P cell is essential for effective mission planning and execution.
Why this Cell
The TerraE 32P cell is specifically designed to meet the rigorous demands of drone applications, particularly in mission feasibility assessments. With a maximum continuous discharge of 30 A, it is positioned among the highest in the database, allowing for robust power delivery during critical flight phases. The cell's volumetric energy density of 630 Wh/l not only exceeds the median of 542 Wh/l but also supports extended flight times, which is crucial for applications requiring long endurance. This combination of high energy density and discharge capability makes the TerraE 32P an ideal choice for UAV battery optimization, ensuring that drones can complete their missions efficiently and effectively. Additionally, the lightweight design of the cell contributes to improved drone powertrain efficiency, addressing the common pain point of battery weight versus flight time.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in optimising the performance of the TerraE 32P cell for drone applications. By modelling load profiles, thermal behaviour, and voltage response, engineers can predict how the cell will perform under various operational scenarios. This allows for accurate assessments of usable energy and helps in identifying the optimal conditions for flight. For example, simulating different flight speeds can reveal the most efficient cruising velocity, which balances aerodynamic drag and battery efficiency. Furthermore, thermal modelling is essential for understanding heat generation and internal temperature rise, which are critical for preventing overheating and ensuring safe battery operation. By leveraging these simulations, designers can make informed decisions about cell selection and configuration, ultimately enhancing the reliability and performance of drone missions.
