DeepTimeNet: A novel architecture for precise surface temperature estimation of lithium-ion batteries across diverse ambient conditions-Reference-Cited by-同舟云学术

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DeepTimeNet: A novel architecture for precise surface temperature estimation of lithium-ion batteries across diverse ambient conditions

Published:2024-09 Issue: Volume:61 Page:105002
ISSN:2214-157X
Container-title:Case Studies in Thermal Engineering
language:en
Short-container-title:Case Studies in Thermal Engineering

Author:

Zafar Muhammad Hamza,Bukhari Syed Muhammad Salman,Houran Mohamad Abou,Mansoor Majad,Khan Noman Mujeeb,Sanfilippo Filippo^ORCID

Funder

Universitetet i Agder

Publisher

Elsevier BV

Reference36 articles.

1. Robust artificial neural network-based models for accurate surface temperature estimation of batteries;Hussein;IEEE Trans. Ind. Appl.,2020

2. Thermal monitoring of LiFePO 4 batteries using switching harmonics;Moral;IEEE Trans. Ind. Appl.,2020

3. Battery management system hardware concepts: An overview;Lelie;Appl. Sci.,2018

4. Sensorless battery cell temperature estimation circuit for enhanced safety in battery systems;Schwarz,2015

5. Sensorless battery internal temperature estimation using a Kalman filter with impedance measurement;Richardson;IEEE Trans. Sustain. Energy,2015

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