Abstract
The installation of current sensors on lithium-ion batteries (LIBs) can be challenging due to practical constraints in specific applications like portable electronics and smart batteries. Motivated by this, our letter proposes a method for online load current and state-of-charge (SOC) coestimation, which mitigates the need of installing the current sensor for LIB management. The essence is to transform the state observation into a constrained optimization problem, which is solved numerically in a moving horizon framework to allow the online coestimation of SOC and input current. Experimental results suggest that the proposed method can coestimate the load current and SOC of LIB precisely even if the current sensor is absent. The encouraging results are insightful for reducing the structural complexity and cost of future LIB utilization.
| Original language | English |
|---|---|
| Article number | 9387136 |
| Pages (from-to) | 10970-10975 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Power Electronics |
| Volume | 36 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - Oct 2021 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- State of charge
- battery management
- current sensor-free
- input estimation
- lithium ion battery
Fingerprint
Dive into the research topics of 'Load Current and State-of-Charge Coestimation for Current Sensor-Free Lithium-Ion Battery'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver