Abstract
Lithium-ion is increasingly the technology of choice for battery-powered systems. Current cell performance monitoring, which relies on measurements of full cell voltage and sporadic surface temperature, does not provide a reliable information on the true internal battery state. Here, we address this issue by transforming off the shelf cells into smart systems by embedding flexible distributed sensors for long-term in-situ and operando thermodynamic data collection. Our approach, which enables the monitoring of the true battery state, does not impact its performance. In particular, our results show that this unprecedented methodology can be used to optimise the performance and map the safety limits of lithium-ion cells. We find that the cell core temperature is consistently and significantly higher than the surface temperature, and reveal a breach of safety limits during a rapid discharge test. We also demonstrate an application of a current considerably higher than the manufacturers’ specification, enabling a significant decrease in charging time, without compromising the cell's thermal stability. Consequently, this work on cell instrumentation methodology has the potential to facilitate significant advances in battery technology.
| Original language | English |
|---|---|
| Pages (from-to) | 36-43 |
| Number of pages | 8 |
| Journal | Journal of Energy Storage |
| Volume | 22 |
| Early online date | 2 Feb 2019 |
| DOIs | |
| Publication status | Published - 1 Apr 2019 |
Funding
The authors declare no competing financial interests. Correspondence and requests for materials should be addresses to: [email protected] . J.F, T.A., A.J.R. and J.C. performed the experiments and analysed the data. R.B. and D.G. supervised the project and offered advice. All authors designed the experiments and wrote the manuscript. Thanks to M. Maharun for support with figures design. This research received funding from Jaguar Land Rover and EPSRC . This research was done with support from the TRENDS project (reference number EP/R020973/1 ). Appendix A
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Battery management
- Cell instrumentation
- Cell performance
- Distributed monitoring
- In-situ
- Li-ion
- Pouch cells
- Power mapping, 18650 cells
- Safety limits
- Sensors
- Smart cells
- Thermal management
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
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Joe Fleming
- Centre for E-Mobility and Clean Growth - Associate Professor
Person: Teaching and Research
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