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Software & Analytics
BMS Software
Enhancing safety, cycle life, charge time, and run time via advanced BMS algorithms Predictive Battery Analytics Platforms
Onboard BMS
Cloud storage
Growth of advanced embedded software that unlock additional functionalities & performance:
Model-based battery internal states monitoring
Optimal charging control
Emergence of battery digital twin: data-driven or physics-based algorithms for more sophisticated:
Health tracking & prediction
Diagnostics & failure prediction
Remaining useful life prediction
State & parameter estimation IoT gateway
Predictive maintenance
Fleet management
Application Programming Interface (API)
Continued improvement in the robustness and accuracy of OEM base software:
Safety-critical monitoring, protection, balancing functions
Fuel gauging: state-of-function (e.g. SOC, SOH) estimation
Source: Concept Review of a Cloud-Based Smart Battery Management System for Lithium-Ion Batteries: Feasibility, Logistics, and Functionality
Extracted from the PDF; charts and images may read imperfectly.
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