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Ampace JP40 Mission feasibility assessment - asses what missions or use cases are possible or not using a go/no-go decision using simulation.

Explore the Ampace JP40 cell for drones, designed for mission feasibility assessments. Achieve optimal performance with high energy density and reliability.

Value Propositions

  • Cylindrical 21700 form factor for compact design.

  • Nominal capacity of 14.8 Wh and 4.0 Ah for efficient energy storage.

  • Top-quartile volumetric power density of 8,930 W/l for high performance.

  • Gravimetric energy density of 214.493 Wh/kg for lightweight applications.

  • Maximum continuous discharge of 60 A for demanding UAV applications.

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About the Cell

The Ampace JP40 cell features a cylindrical 21700 form factor, optimised for drone applications. With a nominal capacity of 14.8 Wh and 4.0 Ah, it provides efficient energy storage for various missions. The cell boasts a volumetric energy density of 595 Wh/l, placing it in the top-quartile of the market, allowing for compact battery designs that do not compromise on performance. Additionally, its gravimetric energy density of 214 Wh/kg ensures that it remains lightweight, which is crucial for drone applications where every gram counts. The maximum continuous discharge rate of 60 A, which is significantly above the median of 30 A, allows for high power demands during critical flight phases. This makes the JP40 an excellent choice for UAV battery pack design, ensuring that drones can perform effectively under various conditions.

Application Challenges

In the context of drones, mission feasibility assessment involves determining which missions can be successfully executed based on battery performance and environmental conditions. The Ampace JP40 cell's high energy density and discharge capabilities are essential for long endurance drone batteries, particularly in scenarios where weight and power output are critical. For instance, in cold-weather environments, the ability to predict battery performance under low temperatures is vital to avoid mid-air failures. The JP40's specifications allow for accurate simulations that inform go/no-go decisions, ensuring that operators can confidently deploy drones for critical missions. Furthermore, the cell's lightweight design aids in extending flight times, addressing the pain point of improving UAV mission endurance while preventing overheating during high discharge rates.

Why this Cell

The Ampace JP40 cell is specifically designed to meet the challenges of drone applications, particularly in mission feasibility assessments. With a maximum continuous discharge of 60 A, it is in the top-quartile compared to the median of 30 A, ensuring that it can handle demanding power requirements during flight. Its volumetric energy density of 595 Wh/l is among the highest in the database, allowing for compact battery designs that do not sacrifice performance. This is crucial for UAV battery optimisation, where space and weight are at a premium. The JP40's specifications enable it to excel in applications requiring long endurance, making it a preferred choice for custom UAV battery packs. By choosing the JP40, designers can ensure that they are selecting a cell that not only meets but exceeds the typical performance metrics required for successful drone operations.

How Model-Based Design Helps

Simulation and model-based design play a critical role in optimising the performance of the Ampace JP40 cell for drone applications. By modelling load profiles, engineers can predict how the cell will perform under various conditions, including thermal rise and voltage sag. This allows for accurate assessments of usable energy throughout the flight envelope, which is essential for mission feasibility assessments. For example, simulating different flight scenarios can help determine the optimal charge and discharge rates, ensuring that the JP40 cell delivers reliable performance even in extreme environments. Additionally, this approach aids in identifying potential issues such as overheating, enabling proactive measures to prevent battery failure. Ultimately, simulation provides the data needed to make informed decisions about cell selection and battery pack design, ensuring that drones can operate effectively and safely.

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