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Description
BatteryCycle offers an innovative analytics platform dedicated to evaluating battery health, allowing fleets, leasing firms, car dealerships, and insurance companies to quickly determine the condition of electric vehicle batteries without the need for OBD hardware or intricate integrations. Through its web application and API, users receive immediate, data-driven battery health assessments for over 25 brands, enabling connections to more than 90% of market models. The platform enhances remarketing, resale, and risk management by providing estimates of residual values, pinpointing potential usage and degradation threats, and alerting users to battery-related risks as they arise. Additionally, BatteryCycle plays a crucial role in second-life and recycling processes, offering battery recyclers and energy-storage developers valuable insights into the chemistry, capacity, and adaptability of decommissioned EV batteries for alternative uses. With its sophisticated analytics tailored for fleet management, the platform empowers operators to keep track of battery health based on brand, model, and driving habits, thereby facilitating informed decisions regarding the retirement of vehicles. This comprehensive approach not only optimizes battery usage and lifespan but also contributes to environmental sustainability by promoting responsible recycling and repurposing of battery resources.
Description
Our advanced battery analytics platform delivers state-of-the-art solutions for monitoring, analyzing, and optimizing battery performance. By utilizing a variety of machine learning techniques and battery-specific algorithms, we ensure accurate results across diverse scenarios. The platform features an API that allows for seamless integration with third-party applications, such as fleet management systems. Instead of relying on guesswork, laboratory experiments, and cumbersome manual data management, users can conduct virtual testing and enjoy automated handling of lab data. The model library enables users to effectively test battery cells in a virtual environment, further enhancing the development process. Our data management software solutions also facilitate the efficient organization of lab data, allowing for better decision-making. By utilizing field data analytics, you can optimize your development efforts. The TWAICE battery model library grants access to a wide array of high-fidelity electrical, thermal, and aging models of the latest lithium-ion battery cells available on the market today, ensuring that you have the most accurate and up-to-date resources for your projects. This comprehensive approach not only streamlines the research and development process but also significantly accelerates innovation in battery technology.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
BatteryCycle
Founded
2021
Country
United States
Website
www.batterycycle.io
Vendor Details
Company Name
TWAICE Technologies
Country
Germany
Website
twaice.com
Product Features
Auto Dealer
Accounting
Buy-Here-Pay-Here
Collections Management
Contact Database
Customer Database
Document Management
F&I Management
Financing Management
Form Printing
Inventory Management
Lease Management
New Car Dealer
New Car Lot
Online Inventory
Parts Management
Sales Management
Service Department
Used Car Lot
Website Integration
Product Features
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis