Through predictive insights step into the next phase of battery health and management with Qnovo’s technology.
Our adaptive and predictive charging algorithms extend battery life, reduce wear, and prevent failures by combining real-time diagnostics and data with advanced machine learning for unparalleled safety and performance.
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Qnovo’s adaptive algorithms combine battery chemistry, data, and software to detect latent defects such as lithium plating or manufacturing flaws, and continuously refine performance through machine learning and AI. This cutting-edge approach ensures safer, more reliable batteries from the first charge to the last, with advanced battery lifecycle monitoring software enhancing safety and efficiency.
Delivers time-critical battery management technology directly within vehicles, using physics-based models that analyze local battery data with minimal latency. The solution works with any lithium-ion battery type without extra hardware, maintaining automotive-grade safety standards while integrating seamlessly as an AUTOSAR application into existing vehicle systems. This architecture ensures continuous EV battery safety even without connectivity, while still supporting cloud-based analytics and updates.
Extends vehicle-level intelligence through powerful remote analytics. It applies ML/AI to extensive battery datasets while leveraging Qnovo’s proprietary Battery Genome database of cell behaviors. This architecture enables fleet-wide diagnostics that identify trends across entire vehicle populations, providing actionable insights into battery performance technology and long-term battery charging optimization.
Responds to chemical battery models in real time, controlling the charging process by adjusting the rate and depth of discharge (DOD) for each battery. This adaptive approach maximizes battery life and compensates for the natural variability in battery manufacturing.
Combines field data with chemical battery models to anticipate excessive degradation or failure. Responds to detected safety faults by shutting down the battery before a thermal event occurs, while delivering accurate insights into the battery's present and future chemical state-of-health.
Pioneering advanced technologies to redefine battery performance technology, accelerate charging, and enhance safety using adaptive software and predictive battery analytics, with over 60 patents.
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Championing energy efficiency and GHG reduction by extending battery life to minimize waste and foster second life applications.
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Delivering dependable solutions that prioritize zero events and exceptional performance to ensure battery longevity.
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Qnovo is the leader in intelligent battery management systems and software to optimize battery health, safety, and economics for electrification. We are redefining what’s possible in electric mobility, energy storage, and industrial applications, advancing a more sustainable, resilient future where smart battery technology powers potential.
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