Classification, summarization and perspectives on state-of-charge estimation of lithium-ion batteries used in electric vehicles: A critical comprehensive survey

B Yang, J Wang, P Cao, T Zhu, H Shu, J Chen… - Journal of Energy …, 2021 - Elsevier
Abstract State-of-charge (SoC) estimation is of great importance for electric vehicles (EVs)
optimum operation, while highly dynamic operation environment makes this task extremely …

Modelling, applications, and evaluations of optimal sizing and placement of distributed generations: A critical state‐of‐the‐art survey

B Yang, L Yu, Y Chen, H Ye, R Shao… - … Journal of Energy …, 2021 - Wiley Online Library
Distributed generation (DG) has attracted significant attention due to its great potential for
enhancing economical and technical performance of power systems and reducing …

High-efficiency hybrid PV-TEG system with intelligent control to harvest maximum energy under various non-static operating conditions

AF Mirza, M Mansoor, K Zerbakht, MY Javed… - Journal of Cleaner …, 2021 - Elsevier
Recently the cleaner energy production is in high demand. Renewable energy systems such
as photovoltaic (PV), thermoelectric generators (TEG), concentrated solar, geothermal, wind …

Towards green energy for sustainable development: Machine learning based MPPT approach for thermoelectric generator

MH Zafar, NM Khan, M Mansoor, UA Khan - Journal of Cleaner Production, 2022 - Elsevier
The rapidly increasing demand for electrical energy and the depletion of fossil fuels ignited
research in renewable energy generation and management. Thermoelectric generation …

Dynamic reconfiguration for TEG systems under heterogeneous temperature distribution via adaptive coordinated seeker

Y Chen, B Yang, Z Guo, J Wang, M Zhu… - … and Control of …, 2022 - ieeexplore.ieee.org
A thermoelectric generation (TEG) system has the weakness of relatively low thermoelectric
conversion efficiency caused by heterogeneous temperature distribution (HgTD). Dynamic …

Maximum energy harvesting of centralized thermoelectric power generation systems with non-uniform temperature distribution based on novel equilibrium optimizer

M Mansoor, AF Mirza, S Duan, J Zhu, B Yin… - Energy Conversion and …, 2021 - Elsevier
Recently thermoelectric generation (TEG) systems are gaining popularity due to their
increased power density and wide applications in industrial and energy conversion …

Green energy extraction for sustainable development: A novel MPPT technique for hybrid PV-TEG system

MK Khan, MH Zafar, M Mansoor, AF Mirza… - Sustainable Energy …, 2022 - Elsevier
The Photovoltaic (PV) module converts only a small portion of irradiance into electrical
energy. Most of the solar energy is wasted as heat, resulting in a rise in PV cell temperature …

Modular thermoelectric generation arrays reconfiguration under heterogeneous temperature distribution via improved cooperation search algorithm: Modelling, design …

Z Guo, B Yang, Y Chen, Z Li, Q Li, J Deng… - Applied Thermal …, 2023 - Elsevier
This paper innovatively proposes a modular thermoelectric generation (TEG) arrays
reconfiguration technique based on an improved cooperation search algorithm (ICSA) …

Improved immune genetic algorithm based TEG system reconfiguration under non-uniform temperature distribution

B Yang, C Zeng, D Li, Z Guo, Y Chen, H Shu, P Cao… - Applied Energy, 2022 - Elsevier
To deal with the problem of low thermoelectric conversion efficiency in thermoelectric power
generation (TEG), this work designs an improved immune genetic algorithm (IIGA) to …

基于数据学习的新能源高渗透电网频率风险评估

温佳鑫, 卜思齐, 陈麒宇, 周博文 - 发电技术, 2021 - pgtjournal.com
新能源正在逐步代替传统发电厂为用户提供电能, 但同时也为电网的安全运行带来了潜在的风险
. 因此, 在规划阶段需要全面地对最大频率偏差越线风险进行概率评估. 基于蒙特卡罗仿真(Monte …