Prediction of experimental thermal performance of new designed cold plate for electric vehicles’ Li-ion pouch-type battery with artificial neural network

Comprehensive study concerned graphene nano-sheets dispersed in ethylene glycol: Experimental study and theoretical prediction of thermal conductivity

(2021) Muhammad Ibrahim et al.   POWDER TECHNOLOGY

Artificial Intelligence Approach on Predicting Current Values of Polymer Interface Schottky Diode Based on Temperature and Voltage: An Experimental Study

(2021) Tamer Güzel et al.   SUPERLATTICES AND MICROSTRUCTURES

Thermophysical properties improvement of a common liquid by adding reduced graphene oxide: An experimental study

(2021) Han Yu et al.   POWDER TECHNOLOGY

Li-ion battery temperature estimation based on recurrent neural networks

(2021) YuHeng Jiang et al.   Science China-Technological Sciences

Experimental investigation of thermal performance of novel cold plate design used in a Li-ion pouch-type battery

(2021) Orhan Kalkan et al.   APPLIED THERMAL ENGINEERING

A novel comparative investigation of the effect of the number of neurons on the predictive performance of the artificial neural network: An experimental study on the thermal conductivity of ZrO 2 nanofluid

(2021) Andaç Batur Çolak   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Real-time core temperature prediction of prismatic automotive lithium-ion battery cells based on artificial neural networks

(2021) Jan Kleiner et al.   Journal of Energy Storage

Estimation of thermal effect of different busbars materials on prismatic Li-ion batteries based on artificial neural networks

(2021) Ozge Yetik et al.   Journal of Energy Storage

Experimental study for predicting the specific heat of water based Cu‐Al 2 O 3 hybrid nanofluid using artificial neural network and proposing new correlation

(2020) A. Batur Çolak et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Competition between intermolecular forces of adhesion and cohesion in the presence of graphene nanoparticles: Investigation of graphene nanosheets/ethylene glycol surface tension

(2020) Xiao-Xiao Tian et al.   JOURNAL OF MOLECULAR LIQUIDS

An experimental study on the comparative analysis of the effect of the number of data on the error rates of artificial neural networks

(2020) Andaç Batur Çolak   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Sensitivity of adhesive and cohesive intermolecular forces to the incorporation of MWCNTs into liquid paraffin: Experimental study and modeling of surface tension

(2020) Shu-Rong Yan et al.   JOURNAL OF MOLECULAR LIQUIDS

Channel parameters for the temperature distribution of a battery thermal management system with liquid cooling

(2020) Yuzhang Ding et al.   APPLIED THERMAL ENGINEERING

A novel battery thermal management system using nano-enhanced phase change materials

(2020) Ravindra Jilte et al.   ENERGY

Nusselt number analysis from a battery pack cooled by different fluids and multiple back-propagation modelling using feed-forward networks

(2020) Imran Mokashi et al.   INTERNATIONAL JOURNAL OF THERMAL SCIENCES

Preventing Heat Propagation and Thermal Runaway in Electric Vehicle Battery Modules using Integrated PCM and Micro-channel Plate Cooling System

(2019) Krishnadash S. Kshetrimayum et al.   APPLIED THERMAL ENGINEERING

Artificial intelligence in the field of nanofluids: A review on applications and potential future directions

(2019) Mehdi Bahiraei et al.   POWDER TECHNOLOGY

Thermal management of lithium-ion batteries: An experimental investigation

(2019) Carla Menale et al.   ENERGY

Heat dissipation optimization of lithium-ion battery pack based on neural networks

(2019) Xiao Qian et al.   APPLIED THERMAL ENGINEERING

The thermal conductivity, viscosity, and cloud points of bentonite nanofluids with n-pentadecane as the base fluid

(2019) Feridun Esmaeilzadeh et al.   JOURNAL OF MOLECULAR LIQUIDS

Thermal management optimization of a prismatic battery with shape-stabilized phase change material

(2018) Weixiong Wu et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Application of artificial neural networks (ANN) for vapor-liquid-solid equilibrium prediction for CH4 -CO2 binary mixture

(2018) Abulhassan Ali et al.   Greenhouse Gases-Science and Technology

Review on battery thermal management system for electric vehicles

(2018) Jaewan Kim et al.   APPLIED THERMAL ENGINEERING

Thermal issues about Li-ion batteries and recent progress in battery thermal management systems: A review

(2017) Huaqiang Liu et al.   ENERGY CONVERSION AND MANAGEMENT

A hybrid artificial neural network-genetic algorithm modeling approach for viscosity estimation of graphene nanoplatelets nanofluid using experimental data

(2017) M. Vakili et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Evaluation of thermal conductivity of MgO-MWCNTs/EG hybrid nanofluids based on experimental data by selecting optimal artificial neural networks

(2017) Masoud Vafaei et al.   PHYSICA E-LOW-DIMENSIONAL SYSTEMS & NANOSTRUCTURES

Prediction of thermal conductivity of various nanofluids using artificial neural network

(2016) Ebrahim Ahmadloo et al.   INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER

Experimental and theoretical investigations of heat generation rates for a water cooled LiFePO 4 battery

(2016) S. Panchal et al.   INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER

Thermal Management of Large-Format Prismatic Lithium-Ion Battery in PHEV Application

(2015) Henrik Lundgren et al.   JOURNAL OF THE ELECTROCHEMICAL SOCIETY

A prediction model based on artificial neural network for surface temperature simulation of nickel–metal hydride battery during charging

(2012) Kaizheng Fang et al.   JOURNAL OF POWER SOURCES

A review on the key issues for lithium-ion battery management in electric vehicles

(2012) Languang Lu et al.   JOURNAL OF POWER SOURCES