Health-Conscious vehicle battery state estimation based on deep transfer learning

Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning

(2021) Yihuan Li et al.   APPLIED ENERGY

Predictive Battery Health Management With Transfer Learning and Online Model Correction

(2021) Yunhong Che et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Co-Estimation of State of Charge and Capacity for Lithium-ion Batteries with Multi-Stage Model Fusion Method

(2021) Rui Xiong et al.   Engineering

Current and future lithium-ion battery manufacturing

(2021) Yangtao Liu et al.   iScience

State of health estimation of lithium-ion battery based on an adaptive tunable hybrid radial basis function network

(2021) Mingqiang Lin et al.   JOURNAL OF POWER SOURCES

Joint estimation method for maximum available energy and state-of-energy of lithium-ion battery under various temperatures

(2021) Shuzhi Zhang et al.   JOURNAL OF POWER SOURCES

Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries

(2021) Weihan Li et al.   JOURNAL OF POWER SOURCES

Unsupervised data-preprocessing for Long Short-Term Memory based battery model under electric vehicle operation

(2021) F. Heinrich et al.   Journal of Energy Storage

A novel approach for health management online-monitoring of lithium-ion batteries based on model-data fusion

(2021) Xiaojuan Han et al.   APPLIED ENERGY

Remaining useful life prediction of lithium-ion battery based on improved cuckoo search particle filter and a novel state of charge estimation method

(2020) Xianghui Qiu et al.   JOURNAL OF POWER SOURCES

A novel quantitative electrochemical aging model considering side reactions for lithium-ion batteries

(2020) Xi Zhang et al.   ELECTROCHIMICA ACTA

Co-estimation of lithium-ion battery state of charge and state of temperature based on a hybrid electrochemical-thermal-neural-network model

(2020) Fei Feng et al.   JOURNAL OF POWER SOURCES

A GRU-RNN based momentum optimized algorithm for SOC estimation

(2020) Meng Jiao et al.   JOURNAL OF POWER SOURCES

Data driven battery modeling and management method with aging phenomenon considered

(2020) Shuangqi Li et al.   APPLIED ENERGY

State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks

(2020) Mohammad Fasahat et al.   JOURNAL OF POWER SOURCES

State-of-charge estimation based on model-adaptive Kalman filters

(2020) Edoardo Locorotondo et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING

Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis

(2020) Matthieu Dubarry et al.   JOURNAL OF POWER SOURCES

Stochastic capacity loss and remaining useful life models for lithium-ion batteries in plug-in hybrid electric vehicles

(2020) Andrew Chu et al.   JOURNAL OF POWER SOURCES

Data driven estimation of electric vehicle battery state-of-charge informed by automotive simulations and multi-physics modeling

(2020) Marco Ragone et al.   JOURNAL OF POWER SOURCES

Adaptive model parameter identification for lithium-ion batteries based on improved coupling hybrid adaptive particle swarm optimization- simulated annealing method

(2020) Sida Zhou et al.   JOURNAL OF POWER SOURCES

Intelligent state of health estimation for lithium-ion battery pack based on big data analysis

(2020) Lingjun Song et al.   Journal of Energy Storage

Online state-of-health estimation of lithium-ion battery based on dynamic parameter identification at multi timescale and support vector regression

(2020) Xiaojun Tan et al.   JOURNAL OF POWER SOURCES

Big data driven lithium-ion battery modeling method based on SDAE-ELM algorithm and data pre-processing technology

(2019) Shuangqi Li et al.   APPLIED ENERGY

A Comprehensive Approach for the Clustering of Similar-Performance Cells for the Design of a Lithium-Ion Battery Module for Electric Vehicles

(2019) Wei Li et al.   Engineering

Accurate lithium-ion battery modeling with inverse repeat binary sequence for electric vehicle applications

(2019) Rui Zhu et al.   APPLIED ENERGY

An improved Thevenin model of lithium-ion battery with high accuracy for electric vehicles

(2019) Xiaofeng Ding et al.   APPLIED ENERGY

State estimation for advanced battery management: Key challenges and future trends

(2019) Xiaosong Hu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Electric vehicle battery thermal management system with thermoelectric cooling

(2019) Y. Lyu et al.   Energy Reports

Supervisory long-term prediction of state of available power for lithium-ion batteries in electric vehicles

(2019) Lin Yang et al.   APPLIED ENERGY

State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture

(2019) Chong Bian et al.   JOURNAL OF POWER SOURCES

Adoption of electric vehicle: A literature review and prospects for sustainability

(2019) Rajeev Ranjan Kumar et al.   JOURNAL OF CLEANER PRODUCTION

Comparative study of reduced order equivalent circuit models for on-board state-of-available-power prediction of lithium-ion batteries in electric vehicles

(2018) Alexander Farmann et al.   APPLIED ENERGY

State-of-health estimation of lithium-ion battery packs in electric vehicles based on genetic resampling particle filter

(2016) Jun Bi et al.   APPLIED ENERGY

Simplification of physics-based electrochemical model for lithium ion battery on electric vehicle. Part I: Diffusion simplification and single particle model

(2015) Xuebing Han et al.   JOURNAL OF POWER SOURCES

Combining Market-Based Control with Distribution Grid Constraints when Coordinating Electric Vehicle Charging

(2015) Geert Deconinck et al.   Engineering

A new neural network model for the state-of-charge estimation in the battery degradation process

(2014) LiuWang Kang et al.   APPLIED ENERGY