Robustness and Reliability of Model-based Sensor Data Fusion in a Lithium-Ion Battery System

Schneider, Dominik; Endisch, Christian

doi:10.1109/ccta41146.2020.9206336

Cited by 4 publications

(1 citation statement)

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“…While conventional battery systems typically use one central current sensor, IBSs might use multiple smaller current sensors that are distributed throughout the system [281,282]. This provides additional data that can be used for advanced functions like error detection, sensor data fusion [283], or to improve parameter estimation [284]. Due to the increased number of sensors, the selection of current sensors in an IBS requires special consideration.…”

Section: Currentmentioning

confidence: 99%

Critical Review of Intelligent Battery Systems: Challenges, Implementation, and Potential for Electric Vehicles

et al. 2021

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This review provides an overview of new strategies to address the current challenges of automotive battery systems: Intelligent Battery Systems. They have the potential to make battery systems more performant and future-proof for coming generations of electric vehicles. The essential features of Intelligent Battery Systems are the accurate and robust determination of cell individual states and the ability to control the current of each cell by reconfiguration. They enable high-level functions like fault diagnostics, multi-objective balancing strategies, multilevel inverters, and hybrid energy storage systems. State of the art and recent advances in these topics are compiled and critically discussed in this article. A comprising, critical discussion of the implementation aspects of Intelligent Battery Systems complements the review. We touch on sensing, battery topologies and management, switching elements, communication architecture, and impact on the single-cell. This review contributes to transferring the best technologies from research to product development.

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