Voltaiq - Cloud-based Enterprise Battery Intelligence Platform Software
Voltaiq's cloud-based Enterprise Battery Intelligence™ Platform is a revolutionary solution that enables organizations to unlock the value within their battery data. As industries pivot towards electrification, understanding and optimizing battery performance becomes critical. Voltaiq's platform seamlessly integrates with existing systems to automatically collect, clean, and label battery performance data in a secure, centralized location. By harmonizing data from various sources and extracting key performance indicators, this platform facilitates rapid, self-serve analysis and accelerates time-to-market. With interactive data visualization, comprehensive metadata search, and a robust analytics studio, Voltaiq empowers businesses to build sophisticated models and machine learning algorithms. Enhancing collaboration and customization, the platform supports comprehensive analyses such as differential capacity, rate studies, HPPC, and cycle life assessments. Voltaiq emphasizes data security, aligning with stringent policies to protect sensitive information throughout the product lifecycle.
The cloud-based Voltaiq platform automatically aggregates battery performance and quality data from across the lifecycle to deliver value to every part of your business.
Enterprise-scale data automation to faster time to insights and time-to-market
Automatic data collection
Battery performance data and metadata are automatically collected, cleaned, labeled, and stored in a secure, centralized location.
Harmonization & feature extraction
Data from disparate sources is ‘harmonized’ to a common format. Key time-series and per-cycle KPIs and data features are extracted.
Instantaneous search
Search across serial numbers, battery properties, batches, test and operating conditions to find data instantly.
Rapid, self-serve analysis
Quickly visualize, analyze, and compare with interactive charting, configurable dashboards, and protocol-specific analytical modules.
Build models & ML algorithms
Develop proprietary analytics, simulation models and machine learning algorithms in-app with cleaned, featurized data and open-source models.
Collaboration & customization
Easily share data, analysis, and alerts with colleagues, partners, and customers. Integrate with other tools and platforms through open APIs.
Interactive Data Visualization
- Instant interactive plotting of 30+ time-series data fields and 70+ per-cycle metrics
- Templated plot views for convenient re-use with any data and seamless sharing and collaboration with colleagues across the hall, or around the world
Comprehensive Metadata Search
- Rapid, powerful search across your entire set of batteries, battery tests, performance logs, and metadata
- Includes fields for dimensions, weights, serial and batch/lot numbers, materials, chemistry, pack/system configuration, image/file attachments and your custom fields
Voltaiq Analytics Studio
- Build and run your own Python or Matlab analyses against any data in your Voltaiq system — Voltaiq provides the environment, you develop and own the IP!
- Prototype predictive machine learning algorithms, perform statistical studies, validate models against real battery performance
Test File Stitching
- Examine and save a battery’s full lifecycle performance by quickly and seamlessly ‘stitching’ together every data file in its testing history
- Easily evaluate cumulative KPIs (lifetime capacity, energy) with interactive plotting, over 20,000x faster than spreadsheet methods
Differential Capacity Analysis
- This technique, also known as dQ/dV analysis, offers direct insight into battery composition, variability, and degradation during normal operation
- Identify early signs of failure, benchmark competitor performance, or reverse-engineer unknown chemistries
Metadata-to-Performance
- Correlate battery performance to quantitative properties or parameters (e.g. thickness, calendaring pressure, charge rate)
- Group and classify battery performance according to qualitative properties (e.g., supplier, chemistry, additive, environment)
Rate Study Analysis
- Quickly determine a battery’s true usable capacity at different discharge rates, or ability to charge at different rates
- Automate rate analysis across any number of rate profiles and test devices, accelerating Rate Study analysis by a factor of 10-100x
HPPC Analysis
- Hybrid Pulse Power Characterization: Map out battery cell, module, or pack ability to accept and deliver power over the entire operating range
- Point-and-click to configure your analysis across protocols, reuse endlessly, accelerating HPPC analysis by a factor of 100-1000x
Cycle Life Analysis
- Predict performance over the testing period to determine if a battery is expected to meet lifetime requirement
- Benchmark performance over cycle life with integrated analysis of DCIR, AC impedance, and other periodic reference performance tests
The Packalyzer
- Quickly validate EV pack or ESS system designs, battery management algorithms, and system operation
- Identify voltage anomalies, thermal or current hotspots, troubleshoot problem cells, modules, or connections that could lead to early degradation or catastrophic failure
Lab Management Dashboard
- Maximize testing throughput and equipment utilization across your entire operation, and gain insight to plan for future expansion
- Provides an overview of all equipment and tests in progress, and rapid troubleshooting of issues at the channel, tester, or lab level
Productivity Dashboard
- Gain insight into your organization’s overall testing throughput and analysis activity
- Surface opportunities to increase test channel utilization and accelerate time to market