Lishen 2170LH Drones Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Lishen 2170LH cell for drones, designed for mission feasibility assessments, ensuring optimal performance and reliability in critical scenarios.
Value Propositions
Cylindrical 21700 form factor for compact integration.
Nominal capacity of 10.8 Wh and 3.0 Ah for reliable energy supply.
Volumetric energy density of 403 Wh/l, top-quartile vs median.
Gravimetric power density of 2282 W/kg, ensuring high performance.
Maximum continuous discharge of 45 A, ideal for demanding applications.
About the Cell
The Lishen 2170LH cell features a cylindrical 21700 form factor, providing a nominal capacity of 10.8 Wh and 3.0 Ah. With a volumetric energy density of 403 Wh/l, it ranks in the top-quartile compared to the database median of 541.67 Wh/l. The gravimetric energy density stands at 152.11 Wh/kg, which is around the median of 210 Wh/kg. Additionally, the cell boasts a volumetric power density of 6049 W/l, significantly higher than the median of 2029 W/l, and a gravimetric power density of 2282 W/kg, which is also in the top-quartile compared to the median. The maximum continuous discharge rate of 45 A positions it well for high-demand applications, while the maximum continuous charge rate of 30 A supports rapid charging capabilities. This combination of features makes the Lishen 2170LH an excellent choice for drone applications requiring reliable performance and efficiency.
Application Challenges
In the context of drones, mission feasibility assessment is crucial for determining which missions can be executed successfully. The Lishen 2170LH cell's specifications directly impact the ability to assess mission viability. For instance, the high volumetric energy density of 403 Wh/l allows for extended flight times, which is essential for long endurance drone batteries. The maximum continuous discharge rate of 45 A ensures that the drone can handle demanding power requirements during critical phases of flight. Furthermore, the ability to simulate various conditions, such as temperature fluctuations and state of charge (SoC), is vital for accurate go/no-go decision-making. This cell's performance characteristics help prevent issues like battery overheating and ensure reliable operation in extreme environments, making it a suitable choice for UAV battery pack design.
Why this Cell
The Lishen 2170LH cell is particularly well-suited for drone applications due to its impressive specifications. With a maximum continuous discharge rate of 45 A, it is positioned in the top-quartile compared to the median of 30 A, making it ideal for high discharge rate UAV batteries. The volumetric energy density of 403 Wh/l is also noteworthy, as it is significantly above the median, allowing for longer flight times and improved UAV mission endurance. Additionally, the lightweight design of the cell, with a mass of only 71 g, contributes to the overall efficiency of the drone, ensuring that the battery weight does not compromise flight time. These features make the Lishen 2170LH an excellent choice for custom UAV battery packs, providing the necessary power and reliability for various drone missions.
How Model-Based Design Helps
Simulation and model-based design play a critical role in optimising the performance of the Lishen 2170LH cell for drone applications. By modelling load profiles, engineers can predict how the cell will behave under different conditions, including varying temperatures and discharge rates. This allows for accurate predictions of voltage sag and thermal rise, which are essential for ensuring safe operation during missions. For example, simulating the thermal behaviour of the cell can help identify potential overheating issues before they occur, allowing for proactive measures to be taken. Furthermore, using cell-specific data in simulations enables precise calculations of usable energy, ensuring that drones can complete their missions without unexpected failures. This approach not only enhances the reliability of the drone but also supports informed decision-making regarding mission feasibility, ultimately leading to more successful operations.
