In-factory testing of lithium batteries for energy storage

What are functional and safety tests for lithium-ion batteries used in industrial applications?

Functional and safety tests for lithium-ion batteries used in industrial applications are essential. Fig. 8.3 shows a diagram of such batteries. The battery consists of individual cells interconnected to form modules. Several modules are then also interconnected inside the battery itself. The battery also features a cooling circuit.

Are lithium-ion batteries safe?

The safety of lithium-ion batteries (LiBs) is a major challenge in the development of large-scale applications of batteries in electric vehicles and energy storage systems. With the non-stop growing improvement of LiBs in energy density and power capability, battery safety has become even more significant.

What are lithium-ion batteries?

Lithium-ion batteries (LIBs) have raised increasing interest due to their high potential for providing efficient energy storage and environmental sustainability . LIBs are currently used not only in portable electronics, such as computers and cell phones , but also for electric or hybrid vehicles .

What are the abuse tests for lithium-ion batteries?

The main abuse tests (e.g., overcharge, forced discharge, thermal heating, vibration) and their protocol are detailed. The safety of lithium-ion batteries (LiBs) is a major challenge in the development of large-scale applications of batteries in electric vehicles and energy storage systems.

What is a battery testing system?

Battery testing systems consist of many modules (Fig. 25.3) that cover different battery testing functions to ensure safe, repeatable tests, assist the operator in creating test procedures, and manage specifications and results. (Source Bosch) Functions and modules of battery testing systems

How to ensure quality and safety of lithium ion batteries?

Ensuring the quality and safety of LIBs is critical to their widespread adoption in various applications. Advanced quality control measures, such as in-line monitoring and artificial intelligence-based algorithms, are being developed to improve the reliability and safety of battery production [49, 50].