Insight Dashboards of Batteries with Lifetime Prediction
Dashboard for Channel 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. Decrease the Battery Test Cycle Times. Comparison of predicted battery lifetime for various customer profiles and lifetime models.
Cell Testing with Machine Learning on SAAS Platform
The data cleaning takes 80% of the machine learning model preparation. For qualifying labs and field customers, we are happy to schedule a free one-on-one or group training session on how to train ML models. Try our Enterprise-level Software Enabled by AI and ML. Battery lifetime and best profile prediction.
Set Up Data Mining in Few Hours with Statistics
We’re fanatical about delivering exceptional customer support to increase safety. Evaluating and integrating new software tools is challenging. Organize gigabytes of performance data and metadata by searching, grouping, stitching, and filtering over millions of cycles. Condition monitoring for battery damage, optimized routes, charging strategy, and predictive maintenance.
The top Customer use cases for Big Data Collection and Monitoring:
1. R&D (OEMs, ESs, EVs)
- Material Degradation, Design, and Selection
- Accelerating Development Cycles
- Shave Months Off Time to Market
- Increase workshop efficiency
- Reduce total cost of ownership
- Reduced Costs Through Accelerated End-of-Line Testing
- System Sizing and Electrical Connection
- Battery Management System Algorithm Design
- Battery usage and Mechanical load
- Data telemetry import and prognostics
- Anomaly Detection and Lifetime Prediction
- Battery Cooling on Driving, Parking, and Charging
- Real-time Alerts and Notifications
- GPS, BMS data (T, I, U, SOC), on-board data
- Environmental temperature and driving behavior
- Predictive Maintenance and Reduced Warranty Costs
- 2nd Life Application Selection
- Creating Feedback Loops to Improve Operations Iteratively
- Charging strategy statistics
- Cost-efficient battery replacements
- Optimize the claim process
American Made Challenge - Department of Energy Approved Connector 2020
Usability and Performance for Materials Process Data
Usability and Performance for Materials Process Data
Usability and Performance for Materials Process Data
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 System Integrations
Usability and Performance for Materials Process Data
Usability and Performance for Materials Process Data
Real-Time View – Our platform integrates data streams generated in several locations for real-time display. Monitor battery condition and analyze data
Local and Cloud Access or Hybrid Cloud if Necessary
Usability and Performance for Materials Process Data
Local and Cloud Access or Hybrid Cloud if Necessary
Remote Access – Enables both off-site data analytics and viewing or adjusting battery operation remotely. KPI generation for SOH, SOC and battery degradation.
Security & Privacy for Production Data
Integration and Collaboration over Digital Twin
Local and Cloud Access or Hybrid Cloud if Necessary
Automated data processing saves human scientists significant time by reducing the low-level data conversion overhead. Battery subcell testing and analytics.
Integration and Collaboration over Digital Twin
Integration and Collaboration over Digital Twin
Integration and Collaboration over Digital Twin
Administration and role management – Supports different access levels for all users and customization of resource allocations for projects, roles, and teams. Battery module/pack testing.
In-Use Data Access and Secure Data Transfer
Integration and Collaboration over Digital Twin
Integration and Collaboration over Digital Twin
Refresh data and view reports – Share your projects with your partners and clients through safe, encrypted access links with customizable access expiration. xEV testing and In-Use.
Bjorn Frogner - CEO at Battery Informatics, Inc.
Antony Parulian - VP of Sales and Marketing at Arbin Instruments, LLC
Antony Parulian - VP of Sales and Marketing at Arbin Instruments, LLC
"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. EnergSoft supports custom test hardware like Basytec, Garmin, Arbin, Neware, Maccor, BioLogic Landt, Gamry, Novonix, and Admiral Instruments. 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 Instruments, LLC
Antony Parulian - VP of Sales and Marketing at Arbin Instruments, LLC
"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 the 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
Antony Parulian - VP of Sales and Marketing at Arbin Instruments, LLC
Douglas (A.) Morris - CEO Polaris Battery Labs, LLC
"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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