Why we built this
Over the last few months since launching the Voltt in London, we’ve spoken to dozens of customers and gathered invaluable user feedback. We’ve listened and, together with your input, we’ve developed a new tool which we call DESIGN SYSTEM to support our customers in all aspects related to cell selection through to pack configuration, development, and validation.
Battery pack configuration is complex. It’s necessary to balance many metrics, including power and energy performance, thermal management, voltage profiles, and pack efficiency. This complexity can lead to time-consuming and expensive design processes, resulting in suboptimal performance where decisions are made with imperfect and incomplete data. With so many variables, it's no surprise that battery system design can be a daunting task, no matter the size of your team.
Streamlining the design process is critical to accelerating electrification. We’ve developed our DESIGN SYSTEM software tool to help predict performance, identify potential issues, and optimise configurations, empowering engineers to design more efficient and reliable battery systems.
Our target customer is any company working on battery pack design looking to further understand and optimise metrics such as thermal performance and voltage profiles.
How it works
Step 1 - Input your data
To start, users can get onto our Voltt platform and define a series of simple user inputs. These include decisions like which cell model you want to use in your designed module or pack (select from a dropdown of cells available from the Voltt) and your estimated cell unit price. You can also define the end-of-life relative capacity of your system.
You’ll also input design parameters at the module and pack level, like the number of cells in parallel and series, cell-to-module ratios, cell-to-module price multipliers, module-to-pack ratios, module-to-pack price multipliers, estimated module resistance, and many more.
To relate this to real-world applications, we’ve also accounted for things that happen on a vehicle level, including metrics like vehicle energy usage (kWh/km) and what upper and lower bounds of state-of-charge you plan to model between.
Once you have input all your data, we can begin calculations.
Step 2 - Review battery design insights
Step 3 - Make decisions driven by real data with cell-level specificity
Once the output is available, you’re able to export raw data and use it in your preferred work environment. Having reviewed the data, you’re now equipped with knowledge on evaluating how suitable your initial design is and how you may want to alter your pack configuration for your application.
If this is a good start and you’re looking for more in-depth information on particular cells, or in-depth modelling tools to embed performance prediction for cells in your system-scale simulations, check out our Voltt platform.
We’re excited to get our new tool DESIGN SYSTEM into the hands of battery engineers. If you're keen to learn more, please fill out our interest form and we'll be in touch soon. Alternatively, don't hesitate to reach out to us directly at firstname.lastname@example.org.
About:Energy is a leading battery software company headquartered in London. The company was founded in 2021 by Gavin White and Kieran O’Regan, two researchers from Imperial College London and the University of Birmingham respectively. About:Energy has focused on building a portfolio of battery measurement and modelling capabilities to provide a software solution for battery design.
About:Energy provides organisations with the tools to streamline their R&D, reducing time-to-market and enhancing battery system performance. About:Energy’s data informs better decision-making across the value chain, from mine to end-of-life. These activities include battery system design, lifetime prediction, and cell optimisation. Customers include organisations across the automotive, manufacturing and aerospace industries.