As authorities are consolidating their timelines for reaching net zero, the pressure is on to achieve mass adoption of battery-driven applications for e-mobility and energy storage within the coming years. To make that happen, battery prices must drop, and performance improve. The industry needs a major innovation injection.

Battery research is skyrocketing, with technological breakthroughs emerging at a rapid pace. As a battery manufacturer, you must discover those that can be successful and turn them into affordable and sustainable market-ready solutions.

But how can you most effectively explore all those innovations and elaborate the best solution right the first time? Save massive time and cost spent on physical prototyping by adopting a model-based battery development approach. Evaluate new technologies virtually and earlier. Select the best cell chemistry and format, size and design the module and pack, and optimize performance. Discover for each application better, more sustainable, and cost-effective battery solutions faster.

Delivering the best battery solution is the shared success of many discipline experts. Innovation must take place throughout the entire design process.

Choose the right cell chemistry and design

By applying innovative material combinations in a practicable layout, you can design a cell that optimally balances application-driven requirements like power output, energy density, and temperature range, yet that is also easy to manufacture and robust. Decisions made here will fix the battery’s chemical, electrical and electrothermal characteristics and thereby largely dictate the further course of design.

Define the layout and size of the pack

Considering application-based targets for power, voltage, and energy, you can define the required number of cells and decide on series-parallel wiring topology. By grouping cells in modules, you can build a robust and manageable configuration of serviceable units that can be thermally separated and greatly influence the protection and cooling requirements of the pack.

Design the pack structure

With cell geometry, configuration, and modularity fixed, you can develop the structural geometry of the pack, primarily driven by mechanical and thermal requirements. Using advanced methods for structural and thermal analysis, you can design a pack that is strong, lightweight and facilitates a homogeneous temperature distribution, regardless of the duty cycle.

Improve safety and performance

Using powerful methods for embedded software design, you can effectively develop a battery management system (BMS), an integrated controller that regulates all power streams to and from the battery. This further optimizes application-specific performance and prevents the battery from being used outside its safe operating area.

Siemens, we help engineering teams discover better, more sustainable, and cost-effective battery solutions faster. Through Siemens Xcelerator™, our comprehensive and integrated software and services portfolio that is accessible as a cloud-based SaaS solution, powered by Amazon Web Services (AWS), we provide you with end-to-end model-based development process. By following our multidisciplinary approach, you can evaluate new technologies virtually and earlier.

Siemens, we help engineering teams discover better, more sustainable, and cost-effective battery solutions faster. Through Siemens Xcelerator™, our comprehensive and integrated software and services portfolio that is accessible as a cloud-based SaaS solution, powered by Amazon Web Services (AWS), we provide you with end-to-end model-based development process. By following our multidisciplinary approach, you can evaluate new technologies virtually and earlier.

Achieve synergies across the entire ecosystem

We realize that battery development often requires a partnership between battery teams on the one hand and application teams on the other, leading to a complex ecosystem with different software and processes used on either side. To help you gain maximum value from each contributor, our solutions are open and easily integrate with other processes and tools, including homegrown capabilities.

Frontload design decisions

Having an end-to-end solution presents massive opportunities to shift left. For example, tight integration between computer-aided design (CAD) and computer-aided engineering (CAE) allows you to build engineering workflows with associative connectivity between those two. This brings expert solutions within reach of analysts. So, it gives people earlier in design more tools at hand to contribute to decisions that are otherwise taken at later stages, which saves massive development time and cost.