Safety and

Predicting and Monitoring Battery Health 100 – 1000x faster than current methods


About Us

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Rethinking battery safety and reliability to ensure the growth of the $200 billion battery industry

Who We Are:

We are a deep technology battery diagnostic company. We are led by scientists, engineers and energy professionals working alongside leading battery researchers at US DOE national laboratory. We have collective specialized experience of over 100 years in battery health testing and measurement.

Beyond battery health testing and measurement, our team has extensive experience in renewable energy, investing, software, hardware and policy working with private sector, regulators, and government industries in the US and international.

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Industries We Serve

As our economy increasingly transitions to variable energy sources, batteries will be ubiquitous. Some of the industries we serve include:

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Electric Mobility
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Energy Storage Systems
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Aviation and Aerospace
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Consumer Appliances
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Marine and Maritime


Before Use

Quality Control: Manufacturing and Assembly

During Use

Health Monitoring: Performance and Reliability

After Use

Second Life: Reuse and Recycling

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What is battery health and risks?

Novus Sentry focuses on the rapid testing, detection and prediction of faults and failures that can lead to catastrophic failures and high safety risks. In doing so, we extend the life, safety and reliability of batteries throughout the whole battery lifecycle. As the industry focuses on increasing energy and power densities using highly flammable materials, the risk of faults and failures increase exponentially.

Battery SOH Overview

Why Does it Matter?

Failures caused during manufacturing, while in use, or after retirement result in billons of dollars of recalls, loss of lives and property. This is in addition to significant damage in brand and company reputation.

What Causes Battery Faults and Failures?

In addition to manufacturing and mechanical defects, they can be tied to usage and charging behavior - including over-charge, under-discharge, over-temperature, and over-current events.


How We Do it?

Novus Sentry has a proprietary solution that focuses on the early detection of nascent short circuits before they become problematic. Currently, there are no BMSs or commercial diagnostic systems for such application. In the process, we accurately characterize a battery cell and a pack’s state of health.

Our technology has been proven in a variety of applications and industries.

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What are Internal Shorts?

An internal short is a condition that happens when electrical current travels through an unintended pathway, or a shortcut, bypassing part of the circuit.  Internal shorts are considered as the primary cause of battery failures and accidents.  


There are various development phases associated with short-circuits. Internal shorts start from nascent shorts before transforming into soft shorts and finally hard shorts that cause catastrophic failures.


As soon as nascent shorts start occurring, unless measures are taken, irreversible damage to a battery’s health and performance ensues. There are currently no accepted industry methods to accurately and rapidly predict and detect internal shorts. 


To characterize a battery’s state of health, our solution rapidly measures self-discharge rate in a highly non-disruptive and non-invasive way.


We accurately measure self-discharge rate in matters of minutes instead of days to weeks - 100 to 1000x faster. By testing and monitoring a battery’s SD, we unlock a new wave of valuable predictive analytics that guarantee the operation of a battery in a safe, efficient and reliable manner.


How We Do it?

Self-discharge (SD) denotes the condition where electrical capacity is lost when the battery is not used. Elevated SD rate is evidence of the existence of internal shorts and is widely accepted as a reliable estimator a battery’s safety and state of health.

Due to the extensive time required by current methods (days to weeks), battery management systems (BMS) do not track a battery’s self-discharge rate. Instead, they monitor external physical changes within batteries that manifest at late phases of internal shorts and respond using complex AI/ML models. 

Frequently Asked Questions


"The ability of [Novus Sentry] to simplify the method of short detection will reduce detection times significantly and can separate bad cells before being assembled into packs. This can expedite time for cells to get from the manufacturing line and into the market. It can help us to improve our products and generate more revenue."​

Battery Cell Manufacturing

QA team

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