Battery Life, Temperature, and Performance Affect Design

We are all familiar with batteries. At least to some extent. We've been using batteries for our watches, children’s toys, flashlights, mobile phones, laptops, and many other devices for decades now. Today, the world is witnessing a real revolution, however. 

The market and policy landscape for transportation electrification is changing rapidly. Automakers are announcing new electric models monthly. 

The key to unlocking the mystery of battery life lies in the data. The underlying core potential of battery data, when leveraged with data analytics, can help accurately determine, predict, and improve battery life. 

It will help ensure cost optimizations and zero downtime and radically accelerate the transition of businesses to an all-electric future.  

The first level of automation in science is automated data processing. This level is purely software-based and automated data processing is where Energsoft is saving time on data wrangling.

Battery Manufacturing, and Operations

Use cases for Big Data Analytics, Machine Learning, and AI

Today’s advanced batteries require a range of specialized analytical tools to better understand the electrochemical processes that occur during battery cycling. With increasing demands for higher battery performance and improved safety, a better understanding of the factors affecting performance, cycle life and possible failure mechanisms is essential. Measuring the chemical state of the battery components such as the cathode, anode, separator, electrolyte, contact layers and additives, at various stages of cycling, provides vital information about the electrochemical processes that occur during battery use in the products.

 1. R&D

  • Materials Design
  • Materials Selection
  • Life Prediction
  • Accelerating Development Cycles and Time-to-Market
2. Production
  • Anomaly Detection
  • Reduced Costs Through Accelerated End-of-Line Testing
3. System Design
  • Lifetime Prediction
  • System Sizing
  • Battery Management System Algorithm Design
4. Operations
  • Predictive Maintenance
  • 2nd Life Application Selection 
  • Creating Feedback Loops to Iteratively Improve Operations  

Battery Development, Manufacturing, and Operations. Big Data Analytics, Machine Learning, and AI

Battery Development, Manufacturing, and Operations. Big Data Analytics, Machine Learning, and AI

Maintenance & Time Savings for Research and Development

Decrease Battery Test Cycle Times

Identifying test issues as soon as they occur with alerts and notifications to your email or your phone.  Improving validation at the cell level with advanced differential capacity plots and deep learning models for benchmarking.  Analyze the data from devices in multiple locations and countries in single and easy to use interface on the web   

Increase Battery Reliability and Safety

You are identifying manufacturing issues with real-time battery analytics, monitoring the health of energy storage assets and systems in milliseconds from data to insights in the dashboards.  Meet all specifications with less burden. We are streamlining internal and external reporting with automatic reports to crucial stakeholders Device linking to maximize performance.  

Let's Chat About Your Process and Business Goals

Improve Batteries by Shipping Products Faster, and Reducing Costs

Energy Storage And Battery Analytics Software

Software Analytics Platform For Batteries

Business to Business Analytics Software-As- A-Service Subscription

Energsoft main focus for sales is in the following markets: Leading Startups, Transportation, Energy Storage, Consumer Electronics, Battery OEMs, and Medical. All companies work on platforms to convert data into information and later into knowledge. Such process is generating more and more battery performance data than they can keep pace with.

Software Security Best Practices

Electrochemical Data Processing and Data Mining

Tired of waiting for your battery cycling data? Use the Energsoft software platform to tame huge amounts of data with powerful web-based data analytics, machine learning, and built-in visualization platform to accelerate your research, automate data processing, and improve your analysis process, helping you get to market faster with a higher quality product. 

Machine Learning for Batteries

Enterprise-level Software Enabled by AI and ML

The battery management system software has a tools to automate real-time data visualization, reporting, and dashboards. We are not a battery management system, we are lying on top of it and help you to get even better insights.  


Get help with dashboards and real-time status of your channels

Energy Storage Inventory Management

Email us at with your questions and we will get back to you in less than one business day.  Data visualization – when done right – can transform not only the way you present results to colleagues and stakeholders in your organization, but also the way you explore and analyze the data itself. 

Free one-on-one Training's

Battery Metadata Management

For qualifying labs, we are happy to schedule a free one-on-one or group training session and tour to answer any questions.  We all use graphs to communicate data. But poorly designed, misleading figures can do more harm than good.  Energsoft supports up to 2 GB files with 100,000+ cycles or ongoing real-time storage testing for up to 12 months.   

Get Set Up in Few Days

Chemistry and Formation Optimizations

We’re fanatical about delivering exceptional customer support.  Evaluating new software tools is challenging. We are here to answer any questions. How can you be sure your visualizations add real value – not just noise?  The superior software allows users to quickly organize metadata - searching, grouping, stitching and filtering over thousands of cycles. 

Guided by feedback from users in R&D and FIELD

Usability and Performance

Improve performance of your team working with data

User-Friendly Interface – Platform-agnostic (Mobile OS, Windows, Linux, Mac) user interface.  An onsite visit can be arranged to discuss customized solutions or projects that fit your organization's specific needs, security and privacy requirements.  

 Flow-Through I/O – Provides a single-entry point, harmonizing data fields for all measurement and control points from top test equipment manufacturers.

Data Agility and IoT

Automatic and interactive plots

Real-Time View – Our platform integrates data streams generated in several locations for real-time display

"What was most important to me was the speed of plotting the data compared to using Excel spreadsheets. My laptop would easily spend 10 minutes just to open the file and then regularly spend 5 minutes to process every small change in my plots. "

Local Software or Cloud Access

Energsoft Battery Testing and Analytics on Premis

Remote Access – Enables both off-site data analytics and viewing or adjusting battery operation remotely.

EnergSoft supports custom test hardware like Basytec, Garmin, Arbin, Neware, Maccor, BioLogic Landt, Novonix, and Admiral Instruments 

Security and Privacy

Data Encryption and Privacy

Automated data processing saves human scientists significant time by reducing the low-level data conversion overhead. Often, scientific instrumentation saves data in obtuse formats, and it can take hours to extract data into a usable format, let alone extract meaningful insight. The time savings can be massive—the process of “data wrangling” in data science often takes 90% of the analysis time, and  a similar ratio for battery analysis. 

Share and Collaborate

Differential Capacity analyze

Administration and role management – Supports different access levels for all users and customization of resource allocations for projects, roles, and teams

 Different battery cyclers (potentiostats) save data in a variety of different spreadsheet formats. The main challenge is that the “units” of interest, single cycles, run together in a spreadsheet format. Separating cycles can be difficult to automate if the electrochemical conditions are changing with each experiment. 

Data Access

Desktop and cloud web-based software

Refresh data and view reports – Share your projects with your partners and clients through safe, encrypted access links with customizable access expiration

The real-time data access from all your locations and devices anywhere and anytime on any web-connected devices. The data is automatically replicated for backup in the cloud database.  Autonomous data analysis is essentially artificial intelligence, in which a computer makes decisions on data   

Partners and Customers

Bjorn Frogner - CEO at Battery Informatics, Inc.

Bjorn Frogner - CEO at Battery Informatics

"I was at that time getting lots of data from testing on our Arbin battery tester. I had no tool other than Excel at the time when I started. We needed to support an SBIR project that we got from DOE in August 2017 plus a commercial project at about the same time. We were in a hurry because we needed to impress our customers. We have to improve batteries by shipping products faster, increasing performance, and reducing costs for our customers.

We are now writing proposals to those customers to expand the projects. We are, to a large extent using the results of the analysis we produced by using the Energsoft analysis platform."  

Antony Parulian - VP of Sales and Marketing at Arbin Instruments, LLC

Antony Parulian - VP of Sales and Marketing at Arbin

"EnergSoft could be an ideal candidate to provide you with customizing a solution to tame large amounts of past data and the future data that will continue generated from Arbin Instruments hardware."   

The software allows user quickly organize metadata to find, group, stitch and search over thousands of cycles. They have support for 1GB files with 100,000+ cycles. Energsoft web portal has plots like Voltage vs SOC, C-Rate vs Capacity, Resistance vs Cycle, Dq/Dv and many others. Users can create a custom plot like Voltage Profile with few clicks of a button. We also help to compare battery performance with the average plots that can be generated across multiple batteries to track and analyze the performance with statistical analyses.

Douglas (A.) Morris - CEO Polaris Battery Labs, LLC

Douglas Morris - CEO Polaris Battery Labs

"Polaris has been working with EnergSoft for the past several years to review, direct, and help them adapt their code to address a wide range of data monitoring and reporting needs commonly required of most battery developers." 

The software has a Windows desktop package with an Air-Drop feature to extract excel file data directly from the hardware and to automate real-time data visualization. Web users can collaborate and share projects with custom templates with others in seconds. Air-Drop allows customers to rapidly onboard meta information to the system. Entry to real-time testing and production data enables faster learning and research. We help to prevent failure, reducing both operating and maintenance costs. 

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Empower transportation, and electronics market

Ever-growing energy needs and depleting fossil-fuel resources demand the pursuit of sustainable energy alternatives, including both renewable energy sources and state of the art technologies. Global customers in medical, consumer electronics, and transportation markets rely on analytics software to deliver battery products or select suppliers.  AI-driven scientific analysis is best suited for optimization problems over an ample parameter space, in which knowing the optimum can reveal insight into fundamental mechanisms that underpin the system. However, in the physical sciences, we often want automated analysis since the experiments are carefully constructed to test specific hypotheses. Energsoft specializes in automatic data processing and AI. Energsoft main focus for sales is in the following markets: Leading Startups and University Labs, Transportation, Energy Storage, Consumer Electronics, Battery OEMs, and suppliers.

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