### Uittreksel

Taal | Engels |
---|---|

Pagina's | 128-140 |

Aantal pagina's | 13 |

Tijdschrift | Applied Energy |

Volume | 175 |

DOI's | |

Status | Gepubliceerd - 2016 |

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*Applied Energy*, vol. 175, blz. 128-140. DOI: 10.1016/j.apenergy.2016.04.103

**A comparison and accuracy analysis of impedance-based temperature estimation methods for Li-ion batteries.** / Beelen, H.P.G.J.; Raijmakers, L.H.J.; Donkers, M.C.F.; Notten, P.H.L.; Bergveld, H.J.

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

TY - JOUR

T1 - A comparison and accuracy analysis of impedance-based temperature estimation methods for Li-ion batteries

AU - Beelen,H.P.G.J.

AU - Raijmakers,L.H.J.

AU - Donkers,M.C.F.

AU - Notten,P.H.L.

AU - Bergveld,H.J.

PY - 2016

Y1 - 2016

N2 - In order to guarantee safe and proper use of Lithium-ion batteries during operation, an accurate estimate of the battery temperature is of paramount importance. Electrochemical Impedance Spectroscopy (EIS) can be used to estimate the battery temperature and several EIS-based temperature estimation methods have been proposed in the literature. In this paper, we argue that all existing EIS-based methods implicitly distinguish two steps: experiment design and parameter estimation. The former step consists of choosing the excitation frequency and the latter step consists of estimating the battery temperature based on the measured impedance resulting from the chosen excitation. By distinguishing these steps and by performing Monte-Carlo simulations, all existing methods are compared in terms of accuracy (i.e., mean-square error) of the temperature estimate. The results of the comparison show that, due to different choices in the two steps, significant differences in accuracy of the estimate exist. More importantly, by jointly selecting the parameters of the experiment-design and parameter-estimation step, a more-accurate temperature estimate can be obtained. In case of an unknown State-of-Charge, this novel method estimates the temperature with an average absolute bias of 0.4 degrees Celsius and an average standard deviation of 0.7 degrees Celsius using a single impedance measurement for the battery under consideration.

AB - In order to guarantee safe and proper use of Lithium-ion batteries during operation, an accurate estimate of the battery temperature is of paramount importance. Electrochemical Impedance Spectroscopy (EIS) can be used to estimate the battery temperature and several EIS-based temperature estimation methods have been proposed in the literature. In this paper, we argue that all existing EIS-based methods implicitly distinguish two steps: experiment design and parameter estimation. The former step consists of choosing the excitation frequency and the latter step consists of estimating the battery temperature based on the measured impedance resulting from the chosen excitation. By distinguishing these steps and by performing Monte-Carlo simulations, all existing methods are compared in terms of accuracy (i.e., mean-square error) of the temperature estimate. The results of the comparison show that, due to different choices in the two steps, significant differences in accuracy of the estimate exist. More importantly, by jointly selecting the parameters of the experiment-design and parameter-estimation step, a more-accurate temperature estimate can be obtained. In case of an unknown State-of-Charge, this novel method estimates the temperature with an average absolute bias of 0.4 degrees Celsius and an average standard deviation of 0.7 degrees Celsius using a single impedance measurement for the battery under consideration.

U2 - 10.1016/j.apenergy.2016.04.103

DO - 10.1016/j.apenergy.2016.04.103

M3 - Article

VL - 175

SP - 128

EP - 140

JO - Applied Energy

T2 - Applied Energy

JF - Applied Energy

SN - 0306-2619

ER -