Software & Analytics

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.