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Advanced analytics and predictive maintenance software solutions for Battery Energy Storage Systems
The challenge
Battery Energy Storage System (BESS) technology plays a pivotal role in the energy transition. Ensuring its optimal performance is crucial, not only to extend battery life, but also to reduce operational costs and enhance efficiency.
However, unplanned downtime and reactive maintenance presents significant challenges. Predicting system failures is complex due to the wide range of operational parameters involved.
We require expertise in leveraging machine learning to analyze live and historical data patterns and forecast potential failures, enabling predictive maintenance and reducing unplanned downtime of BESS.
What is the solution we are seeking from startups?
We are seeking a strategic partner who can help us to transform monitoring data from BESS into actionable insights and predicting failures.
Our ideal partner has expertise in data processing, machine learning or AI – especially within the energy sector – and a proven track record of implementing predictive analytics in complex industrial, renewable, microgrid, or BESS applications.
Key objectives include: leveraging data analytics to predict and prevent potential system failures, supporting proactive maintenance, and enhancing overall system efficiency.
What is the impact of the solution for the market/customers?
Together, we will provide the monitoring and diagnostic solution that is needed to anticipate and prevent downtimes of BESS to maximize operational performance.
The ideal solution will integrate with the existing ABB SaaS solution for BESS monitoring via cloud-to-cloud integration. Leveraging machine learning and real-time analytics, a well-designed solution would analyze live data feeds and historical data to forecast potential issues, allowing for predictive maintenance interventions and minimizing unexpected downtimes of BESS.
The generated insights will feed ABB dashboards that display key performance indicators, and alarms to support rapid service and maintenance interventions. Given the diversity of BESS installations, the ideal solution would also be modular and adaptable across different system sizes and configurations.
The solution shall at least cover the following components inside a BESS:
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Batteries
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Inverter
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Transformer
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Switchgear
Key technologies and applications addressed in the challenge:
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Real-time data collection, ingestion, cleaning, and processing
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Predictive maintenance algorithms based on machine learning and artificial intelligence
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Anomaly Detection, trend analysis, pattern recognition
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Cloud and/or edge-based solutions
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Scalability and elasticity of solution
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APIs and Integration Layer for external data integration and display
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Advanced Analytics and Reporting incl. data visualization & Automated Alerts & Notifications
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Digital Twin technology with simulation models and real-time sync
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Cybersecurity compliance to international standards (e.g., IEC-62443, NIST, NIST2)
Focus segments:
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Commercial & Industrial
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Oil & Gas
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Buildings
Links:
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BESS Architecture
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ABB Electrification Service
We partner with customers to improve the availability, reliability, predictability and sustainability of electrical products and installations. With sustainability and innovation at our core, our technology and services help customers maximize energy efficiency and reduce costs and carbon emissions.
Our talented team of more than 3,000 service experts across 50 countries supports utility, industrial, infrastructure and building customers to deliver new levels of operational efficiency to meet the energy challenges of today and tomorrow. Through our digital solutions, supported by our advisory services, we deliver deeper insights for greater optimization, responsiveness and connectivity, ultimately helping our customers keep the power on 24/7 and minimize costly downtime. Our extensive portfolio allows us to partner with customers to offer the best in product care, modernization and advisory services, from the point of energizing to end-of-life.
We offer solutions for both low and medium-voltage networks that:
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Ensure continuous availability of assets and their operational efficiency
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Safeguard the highest reliability of assets throughout their lifetime
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Increase predictability of assets’ behavior to optimize and improve operations
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Maximize energy efficiency, reduce harmful CO2 emissions and improve carbon footprints
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Winners Package
Collaboration financing
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$30,000 to collaborate and develop the solution (MVP – Minimal viable product) with ABB
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Opportunity to show and share the solution in a pilot or customer test case
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Access to lab environments we jointly use with customers, allowing ABB customers to actively experience the solution and share their feedback
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ABB Startup Challenge 2025
Hosted by ABB & SynerLeap, Partnered by Microsoft
ABB
Helping industries become leaner and cleaner. ABB is a global technology leader in electrification and automation, enabling a more sustainable and re-source-efficient future. By connecting its engineering and digitalization expertise, ABB helps industries run at high performance, while becoming more efficient, productive and sustainable so they outperform. At ABB, we call this ‘Engineered to Outrun’. The company has over 140 years of history and more than 105,000 employees worldwide.
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Microsoft (Nasdaq “MSFT” @microsoft)
Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more. With the dedicated Microsoft for Startups Program, Microsoft helps cloud-based startups with a B2B focus growand scale through a global ecosystem of customers and partners. The focus is on building a long-term partnership with the startup, while ensuring thatintellectual property is always owned by the inventors and founders.
www.microsoft.com/startups
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