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Engineering and Technology

D-Index
52
Citations
8974
World Ranking
3677
National Ranking
747

Overview

Akhil Garg is affiliated with Huazhong University of Science and Technology in China. Their primary field of study is Engineering, with significant contributions in subfields including Electrical and Electronic Engineering, Automotive Engineering, Mechanical Engineering, Control and Systems Engineering, and Civil and Structural Engineering.

Their research topics focus heavily on advanced battery technologies and materials, as well as automotive and vehicle infrastructure. Key areas of work include:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Electric Vehicles and Infrastructure
  • Advanced Multi-Objective Optimization Algorithms
  • Extraction and Separation Processes
  • Advanced Battery Materials and Technologies
  • Advanced battery technologies research

Akhil Garg has published extensively, with recent papers covering areas such as energy-efficient transportation scheduling, battery state monitoring, and battery thermal management for electric vehicles. Notable recent publications include:

  • "An improved CNN-LSTM model-based state-of-health estimation approach for lithium-ion batteries," 2023, Energy
  • "A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "A Hybrid Battery Equivalent Circuit Model, Deep Learning, and Transfer Learning for Battery State Monitoring," 2022, IEEE Transactions on Transportation Electrification
  • "Multi-objective design optimization of battery thermal management system for electric vehicles," 2021, Applied Thermal Engineering
  • "Recent Advancements in Battery Management System for Li-Ion Batteries of Electric Vehicles: Future Role of Digital Twin, Cyber-Physical Systems, Battery Swapping Technology, and Nondestructive Testing," 2021, Energy Technology

Frequent co-authors in their work include:

  • Liang Gao
  • Wei Li
  • Bibaswan Bose
  • Su Shaosen
  • Biranchi Panda

Publications by Akhil Garg often appear in prominent venues, with multiple contributions in:

  • Journal of Energy Storage
  • IEEE Transactions on Transportation Electrification
  • Energy Storage
  • Journal of Electrochemical Energy Conversion and Storage
  • International Journal of Green Energy

Best Publications

  • Metallurgical and mechanical methods for recycling of lithium-ion battery pack for electric vehicles

    Liu Yun;Duy Linh;Li Shui;Xiongbin Peng

  • A surrogate thermal modeling and parametric optimization of battery pack with air cooling for EVs

    Wei Li;Mi Xiao;Xiongbin Peng;Akhil Garg

  • A comprehensive analysis and optimization process for an integrated liquid cooling plate for a prismatic lithium-ion battery module

    Siqi Chen;Xiongbin Peng;Nengsheng Bao;Akhil Garg

  • Comparison of statistical and machine learning methods in modelling of data with multicollinearity

    Akhil Garg;Kang Tai

  • Enhanced power production in PV arrays using a new skyscraper puzzle based one-time reconfiguration procedure under partial shade conditions (PSCs)

    Malisetty Siva Sai Nihanth;J. Prasanth Ram;Dhanup S. Pillai;Amer M.Y.M. Ghias

  • Design optimization of battery pack enclosure for electric vehicle

    Li Shui;Fangyuan Chen;Akhil Garg;Xiongbin Peng

  • Alternative Maritime Power application as a green port strategy: Barriers in China

    Jihong Chen;Jihong Chen;Tianxiao Zheng;Akhil Garg;Lang Xu

  • Process characterisation of 3D-printed FDM components using improved evolutionary computational approach

    V. Vijayaraghavan;A. Garg;Jasmine Siu Lee Lam;B. Panda

  • Deep learning networks for capacity estimation for monitoring SOH of Li‐ion batteries for electric vehicles

    Kirandeep Kaur;Akhil Garg;Xujian Cui;Surinder Singh;Surinder Singh

  • A Hybrid Battery Equivalent Circuit Model, Deep Learning, and Transfer Learning for Battery State Monitoring

    Unknown

  • Thermal performance investigation of an air-cooled lithium-ion battery pack considering the inconsistency of battery cells

    Xiongbin Peng;Chong Ma;Akhil Garg;Nengsheng Bao

  • State-of-the-art in empirical modelling of rapid prototyping processes

    A. Garg;K. Tai;M.M. Savalani

  • Multi-objective design optimization for mini-channel cooling battery thermal management system in an electric vehicle

    Wei Li;Xiongbin Peng;Mi Xiao;Akhil Garg

  • A Review of State of Health Estimation of Energy Storage Systems: Challenges and Possible Solutions for Futuristic Applications of Li-Ion Battery Packs in Electric Vehicles

    Sudipta Bijoy Sarmah;Pankaj Kalita;Akhil Garg;Xiao-dong Niu

  • Experimental and numerical modelling of mechanical properties of 3D printed honeycomb structures

    Biranchi Narayan Panda;Marco Leite;Bibhuti Bhusan Biswal;Xiaodong Niu

  • An integrated SRM-multi-gene genetic programming approach for prediction of factor of safety of 3-D soil nailed slopes

    Akhil Garg;Ankit Garg;K. Tai;S. Sreedeep

  • Multi-objective design optimization of battery thermal management system for electric vehicles

    Shaosen Su;Wei Li;Yongsheng Li;Akhil Garg

  • Performance evaluation of microbial fuel cell by artificial intelligence methods

    A. Garg;V. Vijayaraghavan;S. S. Mahapatra;K. Tai

  • Recent Advancements in Battery Management System for Li‐Ion Batteries of Electric Vehicles: Future Role of Digital Twin, Cyber‐Physical Systems, Battery Swapping Technology, and Nondestructive Testing

    Nitika G. Panwar;Nitika G. Panwar;Surinder Singh;Akhil Garg;Abhishek Kumar Gupta

  • A multi-gene genetic programming model for estimating stress-dependent soil water retention curves

    Akhil Garg;Ankit Garg;K. Tai

  • A Fast Charging–Cooling Coupled Scheduling Method for a Liquid Cooling-Based Thermal Management System for Lithium-Ion Batteries

    Siqi Chen;Siqi Chen;Nengsheng Bao;Akhil Garg;Xiongbin Peng

  • Performance evaluation of warping characteristic of fused deposition modelling process

    Biranchi N. Panda;K. Shankhwar;Akhil Garg;Zhang Jian

  • A new computational approach for estimation of wilting point for green infrastructure

    Ankit Garg;Jinhui Li;Jinjun Hou;Christian Berretta

  • Modeling multiple-response environmental and manufacturing characteristics of EDM process

    A. Garg;Jasmine Siu Lee Lam

Frequent Co-Authors

Liang Gao
Liang Gao Huazhong University of Science and Technology
Kang Tai
Kang Tai Nanyang Technological University
Biranchi Panda
Biranchi Panda Indian Institute of Technology Guwahati
Jasmine Siu Lee Lam
Jasmine Siu Lee Lam Technical University of Denmark
Chee How Wong
Chee How Wong Nanyang Technological University
Surya Prakash Singh
Surya Prakash Singh Indian Institute of Technology Delhi
Yi Zhang
Yi Zhang Nanyang Technological University
Siba Sankar Mahapatra
Siba Sankar Mahapatra National Institute of Technology Rourkela
Zhun Fan
Zhun Fan Shantou University
Wan-Huan Zhou
Wan-Huan Zhou University of Macau

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