Molicel P60B Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.
Explore the Molicel P60B cell for mission feasibility assessments in aerospace. Discover its high energy density and performance for UAV applications.
Value Propositions
Cylindrical 21700 form factor with a nominal capacity of 21.6 Wh and 6.0 Ah.
Volumetric energy density of 860 Wh/l, placing it in the top-quartile vs median.
Gravimetric energy density of 288 Wh/kg, ensuring lightweight drone battery packs.
Maximum continuous discharge of 100 A, allowing for high discharge rate UAV batteries.
Volumetric power density of 14,336.9 W/l, among the highest in the database.
About the Cell
The Molicel P60B is a cylindrical 21700 cell designed for high-performance applications. With a nominal capacity of 21.6 Wh and 6.0 Ah, it offers a robust solution for UAV battery pack design. Its volumetric energy density of 860 Wh/l is in the top-quartile compared to the median of 541.67 Wh/l, making it an excellent choice for long endurance drone batteries. The gravimetric energy density of 288 Wh/kg ensures that it is lightweight, which is crucial for drone applications where weight directly impacts flight time. Additionally, the cell boasts a maximum continuous discharge of 100 A, which is essential for high energy density drone batteries that require rapid power delivery. The volumetric power density of 14,336.9 W/l is among the highest in the database, providing the necessary power for demanding UAV operations. This combination of features makes the Molicel P60B a top contender for custom UAV battery packs.
Application Challenges
In the aerospace sector, mission feasibility assessment is critical for determining the viability of UAV operations. The Molicel P60B cell's specifications directly address the challenges faced in this field. For instance, the high energy density ensures that drones can extend their flight time, which is vital for long missions. Additionally, the ability to handle high discharge rates prevents overheating, a common issue in UAV applications. Accurate simulation of battery performance under various conditions allows operators to make informed go/no-go decisions, minimising the risk of mission failure. The lightweight design of the P60B also contributes to improved UAV mission endurance, enabling drones to carry heavier payloads without compromising flight capabilities. Overall, the Molicel P60B cell is tailored to meet the rigorous demands of aerospace applications, ensuring reliability and efficiency.
Why this Cell
The Molicel P60B cell is specifically designed for aerospace applications, particularly in mission feasibility assessments. Its nominal capacity of 21.6 Wh and maximum continuous discharge of 100 A make it suitable for high-performance UAVs. Compared to the database median, the P60B's volumetric energy density is in the top-quartile, ensuring that drones can operate efficiently over extended periods. The cell's gravimetric energy density of 288 Wh/kg supports lightweight drone battery packs, which is crucial for maintaining optimal flight times. Furthermore, the high volumetric power density of 14,336.9 W/l allows for rapid energy delivery, essential for dynamic UAV operations. These attributes make the Molicel P60B an ideal choice for engineers and designers focused on UAV battery optimisation.
How Model-Based Design Helps
Simulation and model-based design play a pivotal role in optimising the performance of the Molicel P60B cell for UAV applications. By modelling load profiles, engineers can accurately predict how the cell will behave under various operational conditions. This includes assessing thermal rise and voltage sag, which are critical factors in battery performance. The ability to simulate these parameters allows for precise selection of the P60B cell based on its specific characteristics, ensuring that it meets the demands of mission feasibility assessments. Furthermore, simulation helps in understanding usable energy across different flight scenarios, enabling operators to make informed decisions about go/no-go launches. This predictive capability is essential for minimising risks and enhancing the reliability of UAV missions.
