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Jiangsu Sunpower 30T Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.

Explore the Jiangsu Sunpower 30T cell for drones, designed for mission feasibility assessment, ensuring optimal performance and reliability in critical applications.

Value Propositions

  • Cylindrical 18650 form factor for efficient design.

  • Nominal capacity of 10.8 Wh and 3.0 Ah for reliable energy supply.

  • Top-quartile volumetric energy density of 615 Wh/l for compact designs.

  • Gravimetric power density of 2,273 W/kg, ideal for high-performance UAVs.

  • Maximum continuous discharge of 30 A supports demanding applications.

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About the Cell

The Jiangsu Sunpower 30T cell features a cylindrical 18650 form factor, providing a nominal capacity of 10.8 Wh and 3.0 Ah. With a volumetric energy density of 615 Wh/l, it ranks in the top-quartile compared to the database median of 542 Wh/l, making it suitable for compact drone designs. The gravimetric energy density stands at 227 Wh/kg, which is around the median, ensuring a lightweight solution for UAV applications. Additionally, the cell boasts a volumetric power density of 6,154 W/l, which is among the highest in the database, facilitating high energy output for demanding tasks. The maximum continuous discharge rate of 30 A allows for robust performance in critical scenarios, ensuring that the cell can handle the rigorous demands of drone operations.

Application Challenges

In the context of drones, the mission feasibility assessment is crucial for determining what missions or use cases are viable. The Jiangsu Sunpower 30T cell's specifications directly impact its performance in various scenarios. For instance, the high volumetric energy density allows for longer flight times, which is essential for applications such as surveillance or delivery. Moreover, the ability to sustain a maximum continuous discharge of 30 A ensures that the drone can perform under high load conditions without risking battery failure. This is particularly important in environments where reliability is paramount, such as emergency response or military operations. The challenges of drone battery design include ensuring that the selected cells can withstand temperature fluctuations and provide accurate state-of-charge (SoC) predictions, which are critical for mission success.

Why this Cell

The Jiangsu Sunpower 30T cell is an excellent choice for drones due to its impressive specifications. With a volumetric energy density of 615 Wh/l, it is positioned in the top-quartile compared to the database median, allowing for compact battery designs that do not compromise on energy supply. The gravimetric power density of 2,273 W/kg supports high-performance UAV applications, ensuring that the drone can achieve optimal flight times and payload capacities. Additionally, the maximum continuous discharge of 30 A enables the cell to meet the high demands of various missions, making it a reliable option for UAV battery pack design. The combination of these features ensures that the 30T cell can effectively address the challenges of mission feasibility assessments, providing the necessary power and reliability for successful operations.

How Model-Based Design Helps

Simulation and model-based design play a critical role in optimising the performance of the Jiangsu Sunpower 30T 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 allows for the identification of the most suitable cells for specific missions, ensuring that the drone can achieve its operational goals without unexpected failures. For example, simulating the thermal rise during high discharge scenarios helps in selecting cells that can maintain performance without overheating, which is vital for mission-critical applications. Furthermore, using simulation to assess usable energy across different flight envelopes enables operators to make informed go/no-go decisions, enhancing mission reliability and efficiency.

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