Abstract

As the need for better prediction of battery life parameters in secondary batteries evolves, especially for electric vehicles, many researchers have looked for methods beyond simple battery modeling. One of the promising methods is electrochemical impedance spectroscopy. This is typically a technique used to get insight on the kinetic reactions in batteries and various studies have shown excellent correlation between impedance data and the state of health and ageing effects in lithium-ion batteries. In this article the benefits of using electrochemical impedance spectroscopy in battery management systems will be studied as it has been shown by multiple researchers that it is possible to develop an embedded electrochemical impedance spectroscopy circuit. The accuracy of currently available models based on impedance data deteriorates over time and to enable a battery management system to keep accurate predictions on state of health and other ageing-related effects there is a need for on-board electrochemical impedance measurements. Aspects such as SoH, balancing, battery ageing, and second life is discussed in relation to electrochemical impedance spectroscopy and battery management systems.

Highlights

  • The increasing use of lithium-ion batteries in our everyday lives highlight the need for longer battery life

  • Aspects such as state of health (SoH), balancing, battery ageing, and second life is discussed in relation to electrochemical impedance spectroscopy and battery management systems

  • As a technique to analyze the state of a battery in a non destructive manner, electrochemical impedance spectroscopy offers many advantages

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Summary

Introduction

The increasing use of lithium-ion batteries in our everyday lives highlight the need for longer battery life. Battery life in this context refers to battery endurance, how long a pack or cell can continue operation before it requires recharging. There is a desire for increased longevity and even second life applications in the case of larger battery systems, such as those found in electric vehicles. This article and the technology it promotes focus on larger applications that require microcontroller equipped battery management systems (BMS), such as light electric vehicles (LEV), plug-in hybrid electric vehicles (PHEV) and battery electric vehicles (BEV). The battery chemistry is not limited to lithiumion, it could be applied to other known, and future, battery chemistries as well. In this article the term battery applies to both a single cell and the combined battery pack

State of charge prediction
State of Health
Ageing
Cycle life
Balancing
Electrochemical Impedance Spectroscopy
Second life
Measurement interval
Findings
Conclusion
Full Text
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