iBMS Battery AI Big Data Cloud Platform
Battery AI Technology Enables Battery Management And Carbon Neutralization
- Product Overview
- iBMS Battery AI Big Data Cloud Platform is a platform based on battery AI technology. It serves automobile enterprises, energy storage enterprises and energy management service providers, and realizes hardware data, model and performance forecast, also full life cycle management based on digital twin technology.
- The complete battery life cycle data driven can be realized by the IBMS Battery AI Big Data Cloud Platform.
Data Source
AI & Big Data Warehouse
Service
Predictability
Adaptability
Product Functions
- AI Analysis Mining
- AI is used to depict customer user portraits, support market forecast, 2nd life usage management and station operation
- Battery Health Assessment & Tracking
- Evaluation and tracking of health indicators by Battery SOH, RUL and etc.
- Battery AI Evaluation
- Use AI to evaluate the state of the battery accurately
- Safety Warning
- Battery failure will be affecting usage safety
- Cloud Battery Intervention
- Cloud intervention of charging and discharging behavior combined with battery health and battery characteristics
- Battery Traceability Management
- Reporting and management of traceability information in the whole life cycle of new energy vehicle batteries, two wheeled vehicle batteries and energy storage batteries
Product Advantages
Real-time
Real-time Connected Battery Data
Realizes Real-time Battery Monitoring
Realizes Real-time Battery Monitoring
Intelligence
With the support of PowerShare Battery AI technology
able to solve the user's pain points accurately
able to solve the user's pain points accurately
Comprehensive
Covering various application scenarios of batteries whole lifecycle such as automobile batteries, two wheeled vehicle batteries, energy storage batteries and etc.
Maturity
Experienced serving many leading customers from the automobile, power grid and energy storage industries
User Value
- OEM Automobile
- Extend battery lifetime, actively maintaining high-risk vehicles, and optimizing battery redundancy design through user behavior, as to achieve higher product competitiveness and better user satisfaction
- Mobility Services/Commercial Vehicle Operators
- Extend battery lifetime, actively maintaining high-risk batteries, reducing customer complaints and achieving better customer satisfaction
- Clean Energy Service Provider / Investor
- Extend battery lifetime, preserving battery assets value and dispatching power for the peaks and roughs. Combining with PowerShare eMSP technology, able to solve the battery problem in power grid operation better.
User Case
PowerShare And An Automobile Maker Setting Up A Co-lab for Battery AI Technology and Commercial Application
Project Overview
In 2021，PowerShare had set up a co-lab about Battery AI Technology and commercial application with a MNC automobile company. Relying on the leading advantages in this respective fields, the co-lab has carried out the development
of battery artificial intelligence technology and commercial innovation exploration for battery life cycle management, optimization and value mining.
Customer Feedback：
The co-lab has made remarkable achievements in battery artificial intelligence technology. At the same time, with battery artificial intelligence technology as the core. PowerShare has explored a new business model, and achieved
remarkable business results, laying a solid foundation for seizing the opportunities brought by "carbon neutralization".
- Contact Us
- Innovative integrated cloud solutions based on artificial intelligence, big data and Internet of things technologies. The company is currently headquartered in Shanghai and has a R&D center in Suzhou
- Energy Digitalization AI · Drive the Low Carbon Future
- Become A Global Innovative Technology Company
Contact Us
（+86）021-80392060
Headquarter
Room 807-808, Block A, China Railway Nord, No. 908, Xiuwen Road, Minhang District, Shanghai
R&D Center
Room 504-506, Building 15, No 328, Xinghu Street, Suzhou, Jiangsu, China
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