Coordinated configuration of hybrid energy storage for electricity-hydrogen integrated energy system
N Liu, K Zhang, K Zhang - Journal of Energy Storage, 2024 - Elsevier
This paper proposes an optimal coordinated configuration method of hybrid electricity and
hydrogen storage for the electricity‑hydrogen integrated energy system (EH-ES) to promote …
hydrogen storage for the electricity‑hydrogen integrated energy system (EH-ES) to promote …
A physics-informed Bayesian optimization method for rapid development of electrical machines
Advanced slot and winding designs are imperative to create future high performance
electrical machines (EM). As a result, the development of methods to design and improve …
electrical machines (EM). As a result, the development of methods to design and improve …
The Design and Optimisation of Additively Manufactured Windings Utilising Data Driven Algorithms for Minimal Loss in Electric Machines.
J McKay, J Miscandlon, T Konkova - IEEE Access, 2024 - ieeexplore.ieee.org
Permanent magnet (PM) electrical machines are an ever increasingly utilised motor
topology for numerous industries such as automotive, aerospace, manufacturing, energy …
topology for numerous industries such as automotive, aerospace, manufacturing, energy …
Effective Data-driven Method Based on Bayesian Approach for Performance Estimation of Wound-field Motors
T yang Zhao, Y Hidaka, S Hiruma… - IEEJ Journal of Industry …, 2024 - jstage.jst.go.jp
This study proposes a novel data-driven method based on Bayesian approach. A d/q axis
flux map and the nonlinear torque characteristics of wound-field motors were estimated …
flux map and the nonlinear torque characteristics of wound-field motors were estimated …
Resilient Multi-range Radar Detection System for Autonomous Vehicles: A New Statistical Method
Critical issues with current detection systems are their susceptibility to adverse weather
conditions and constraint on the vertical field view of the radars limiting the ability of such …
conditions and constraint on the vertical field view of the radars limiting the ability of such …
Multi-Objective Optimization of High Power Density Motor Based on Metamodel of Optimal Prognosis
M Shang, J Liu - IECON 2023-49th Annual Conference of the …, 2023 - ieeexplore.ieee.org
Because of multi-parameter, nonlinearity and strong coupling, one of the main difficulties in
motor design is multi-objective optimization. In this paper, the high power density high lift …
motor design is multi-objective optimization. In this paper, the high power density high lift …
Evaluation of Flexible Ramping Resources in Rural Areas via the Multi-Time-Scale Carbon Flow
B Chen, D Xie, J Tang, B Chen… - … Power and Energy …, 2023 - ieeexplore.ieee.org
Driven by the goal of low carbon, China's rural systems are consuming more renewable
energy. Due to its weak grid, the rural system is facing the challenge of reliable power …
energy. Due to its weak grid, the rural system is facing the challenge of reliable power …
Sampling Methods in Multi-objective optimization Algorithm of Electric Motors Based on Approximate Metamodel
M Shang, J Liu - … on Electrical Machines and Systems (ICEMS), 2023 - ieeexplore.ieee.org
One of the main difficulties in motor design is multi-objective optimization, which is mainly
caused by the nonlinearity and strong coupling of motor parameter variables. In this paper …
caused by the nonlinearity and strong coupling of motor parameter variables. In this paper …