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Battery Lifetime

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Extended Battery Lifespan

Empower your telematics with our TCU, offering effortless integration and secure data exchange for any digital platform.

Optimized Performance

This means that the latest features, improvements, and security patches can be delivered directly to your vehicle without needing a physical service visit.

Reduced Downtime

Propel into the future of mobility with our TCU‘s V2X technology provides seamless interactions for improved safety and optimized traffic management

Cost Savings

During emergency situations, our e-Call functionality in TCU can automatically notify emergency services by sending critical Vehicle data

Battery Lifetime

The demand for Battery Intelligent Analytics has rapidly increased in today’s world of battery-dependent technologies. With the rise of electric vehicles, renewable energy solutions, and innovative grid systems, batteries have become vital components with significant implications. B–ON's Battery Intelligent Analytics takes a comprehensive approach to battery management by utilizing advanced data analytics and predictive modelling techniques. By carefully examining battery data, these analytics provide valuable insights into performance trends, degradation patterns, and potential anomalies. This proactive approach enables predictive maintenance, optimized charging strategies, and improved safety measures. In the end, B–ON's Battery Intelligent Analytics empowers industries to maximize battery systems’ efficiency, longevity, and reliability, which ensures the seamless advancement of modern technologies while minimizing risks and maximizing returns on investment.

Salient Features

  1. State-of-Health Estimation: Assess the overall health and degradation level of batteries over time, providing insights into remaining useful life and performance potential.
  2. Anomaly Detection: Identifies abnormal behaviour or deviations from expected battery performance, triggering alerts for immediate attention.
  3. Performance Optimization: Recommends optimal charging and discharging strategies based on current battery state and usage patterns.
  4. Predictive Maintenance: Utilizes historical data and machine learning algorithms to predict maintenance needs and prevent failures.
  5. Visualization and Reporting: Presents data insights through visualizations, dashboards, and customizable reports for easy understanding and decision-making.

Add-On possibilities

  1. Multi-Battery Management: Manage and analyze data from multiple batteries or battery systems simultaneously, enabling centralized monitoring and comparison.
  2. Scenario Simulation: Simulate different usage scenarios to predict how batteries perform under various conditions, helping users make informed decisions.
  3. Integration with Asset Management: Integrate with the asset management systems to seamlessly incorporate battery data into overall operational strategies.

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