Abstract
The widespread adoption of electric vehicles (EVs) and large-scale energy storage has necessitated advancements in battery management systems (BMSs) so that the complex dynamics of batteries under various operational conditions are optimised for their efficiency, safety, and reliability. This paper addresses the challenges and drawbacks of conventional BMS architectures and proposes an intelligent battery management system (IBMS). Leveraging cutting-edge technologies such as cloud computing, digital twin, blockchain, and internet-of-things (IoT), the proposed IBMS integrates complex sensing, advanced embedded systems, and robust communication protocols. The IBMS adopts a multilayer parallel computing architecture, incorporating end-edge-cloud platforms, each dedicated to specific vital functions. Furthermore, the scalable and commercially viable nature of the IBMS technology makes it a promising solution for ensuring the safety and reliability of lithium-ion batteries in EVs. This paper also identifies and discusses crucial challenges and complexities across technical, commercial, and social domains inherent in the transition to advanced end-edge-cloud-based technology.
| Original language | English |
|---|---|
| Pages (from-to) | 1142-1159 |
| Number of pages | 18 |
| Journal | Sustainable Energy and Fuels |
| Volume | 9 |
| Issue number | 5 |
| DOIs | |
| State | Published - Jan 22 2025 |
Funding
This work was supported by the Ministry of Education (MoE), Government of India, through the Prime Ministers' Research Fellowship (PMRF) Scheme and E-Mobility Lab, Indian Institute of Technology, Guwahati, Assam, India.