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In today’s rapidly evolving technological landscape, the role of algorithms in battery technology is becoming increasingly significant. As the demand for complex battery units surges, so too does the need for efficient battery management systems that can optimize performance and ensure safety. On May 6th, 2025, the European Battery Business Club (EBBC) hosted an expert talk featuring leading protagonists from battery research and data monitoring. Both experts strongly emphasize the importance of data and algorithms in effectively managing battery systems. This blog showcases three key aspects extracted from the webinar that highlight the relevance of battery data and show how algorithms are continuously transforming battery technology.

The Role of Data in Battery Tech 

At the heart of modern battery technology lies a wealth of data. “A battery is not just a black box; it’s composed of hundreds of individual cells, each with its temperature, voltage, and current signals,” explains Dr. Martin Ufert, head researcher at the Fraunhofer Institute for Transportation and Infrastructure Systems (IVI). This intricate web of data is essential for the battery management system (BMS) to operate effectively. It facilitates the real-time monitoring of battery performance, allowing for instant adjustments to charging and discharging processes. The capacity to analyse this data in milliseconds is critical for ensuring that batteries perform as intended for instance, in electric vehicles. However, Lutz Morawietz, head of algorithm development at Volytica Diagnostics, provides a practical perspective, stating: “We cannot store all this data inside the vehicle; it simply isn’t feasible.” Instead, data is often sent to the cloud for long-term monitoring and analysis, where algorithms can assess performance over time and optimize battery usage.  

Safety First: Algorithms as a Second Layer of Protection 

The safety of battery systems is paramount, especially in high-stakes applications like electric vehicle fleets. Dr. Ufert notes that “the BMS should prevent overcharging and overheating,” but even the best systems can occasionally fail. This is where cloud-based monitoring systems come into play. By continuously analysing data from batteries, algorithms can detect anomalies that might indicate potential safety issues. Morawietz emphasizes this necessity, stating, “Our algorithms need to be tolerant of disturbances in field data.” This capability allows for early detection of issues, providing a second layer of safety that can prevent catastrophic failures. The integration of robust cloud monitoring systems enables operators to identify problematic trends and take proactive measures to mitigate risks. 

A New Era of Lifecycle Management 

As batteries approach the end of their first life, understanding their state of health becomes crucial for determining future applications. The data collected over time informs decisions regarding whether a battery can be reused in secondary applications, such as stationary storage systems. Dr. Ufert highlights that “monitoring the battery’s degradation over time can correlate with usage scenarios,” making it easier to assess remaining battery life. Morawietz adds a vital industry angle, stating that “clients are increasingly interested in the value of their assets.” By employing algorithms to analyse historical performance data, businesses can make informed decisions about battery repurposing and recycling, ultimately promoting sustainability within the industry. The synergy between Ufert’s academic insights and Morawietz’s practical applications exemplifies how collaboration can lead to innovative solutions in lifecycle management. 

Seeing the bigger picture: batteries in the global energy ecosystem

Up-skilling in Battery Data 

The significance of algorithms in battery technology is transformative. From optimizing performance and ensuring safety to managing battery lifecycle, data-driven approaches are reshaping the understanding and utilization of batteries. As the two experts illustrate, integrating advanced algorithms into battery management systems is not merely a trend; it is essential for the future of electric mobility. Embracing these technological advancements enhances battery efficiency and sustainability, paving the way for a greener tomorrow. Staying informed about these developments will be crucial as society navigates an increasingly electrified world. 

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Enroll into our Online Battery Training and broaden your knowledge in Battery Data and its application. Don’t miss out on the opportunity and get to know cutting-edge knowledge with use cases from industry. The EBBC provides unique lifelong learning programs that can enhance your career and understanding of the rapid energy transformation.  

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