Abstract
Lithium-ion batteries at low temperatures have slow recharge times alongside reduced available power and energy. Battery heating is a viable way to address this issue, and self-heating techniques are appealing due to acceptable efficiency and speed. However, there are a lack of studies quantitatively comparing self-heating methods rather than qualitatively, because of the existence of many different batteries with varied heating parameters. In this work, we review the current state-of-the-art self-heating methods and propose the heating triangle as a new quantitative indicator for comparing self-heating methods, towards identifying/developing effective heating approaches. We define the heating triangle which considers three fundamental metrics: the specific heating rate (°C·g·J−1), coefficient of performance (COP) (−), and specific temperature difference (°C·hr), enabling a quantitative assessment of self-heating methods using data reported in the literature. Our analysis demonstrates that very similar metrics are observed for the same type of self-heating method, irrespective of the study case, supporting the universality of the proposed indicator. With the comparison insights, we identify research gaps and new avenues for developing advanced self-heating methods. This work demonstrates the value of the proposed heating triangle as a standardised approach to compare heating methods and drive innovation.
| Original language | English |
|---|---|
| Article number | 233484 |
| Number of pages | 16 |
| Journal | Journal of Power Sources |
| Volume | 581 |
| Early online date | 22 Aug 2023 |
| DOIs | |
| Publication status | Published - 15 Oct 2023 |
Bibliographical note
This is an Open Access article distributed under the terms of the CreativeCommons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited.
Funder
This work was kindly supported by the Faraday Institution's Industrial Fellowship ( FIIF-013 ), the EPSRC Impact Acceleration Award ( EP/X52556X/1 ), the EPSRC Faraday Institution's Multi-Scale Modelling Project ( EP/S003053/1 , grant number FIRG003 ), the EPSRC Joint UK-India Clean Energy Centre (JUICE) ( EP/P003605/1 ), the EPSRC Integrated Development of Low-Carbon Energy Systems (IDLES) project ( EP/R045518/1 ), and by the German Federal Ministry for Economic Affairs and Energy (BMWi) ( 03 ET6153C iMoBatt ).Funding
This work was kindly supported by the Faraday Institution's Industrial Fellowship ( FIIF-013 ), the EPSRC Impact Acceleration Award ( EP/X52556X/1 ), the EPSRC Faraday Institution's Multi-Scale Modelling Project ( EP/S003053/1 , grant number FIRG003 ), the EPSRC Joint UK-India Clean Energy Centre (JUICE) ( EP/P003605/1 ), the EPSRC Integrated Development of Low-Carbon Energy Systems (IDLES) project ( EP/R045518/1 ), and by the German Federal Ministry for Economic Affairs and Energy (BMWi) ( 03 ET6153C iMoBatt ).
| Funders | Funder number |
|---|---|
| UK-India Clean Energy Center | |
| German Federal Ministry for Economic Affairs and Energy | |
| UK-India Clean Energy Center | EP/P003605/1, EP/R045518/1 |
| Engineering and Physical Sciences Research Council | EP/S003053/1, EP/X52556X/1 |
| The Faraday Institution | FIIF-013 |
| The Faraday Institution | FIRG003 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- lithium-ion battery
- Low temperature
- Metrics
- Preheating
- Self-heating
- Thermal management
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Energy Engineering and Power Technology
- Physical and Theoretical Chemistry
- Electrical and Electronic Engineering
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