Journal of Electrical & Electronic Systems

This article presents a comprehensive efficiency comparison of dual motor input electric wheel loader powertrains operating in distributed driving modes. The study focuses on parallel and series hybrid modes, evaluating key metrics such as energy consumption and powertrain efficiency. Realworld case studies and practical implementation considerations are discussed, providing valuable insights for industry stakeholders. Additionally, emerging technologies and regulatory considerations are addressed, offering a forward-looking perspective on the potential advancements in electric wheel loader powertrains.

As the global transition towards renewable energy sources gains momentum, the integration of intermittent renewable energy generation and its reliable storage are paramount. This study introduces Grid-Sim, a novel modeling framework designed to simulate the dynamic interplay between renewable energy production and battery storage systems for Electric Vehicle (EV) charging. Leveraging advanced computational algorithms, Grid- Sim accurately captures the temporal variability of renewable energy sources, assesses battery performance, and optimizes charging strategies. The results demonstrate the potential of Grid-Sim in enabling efficient, sustainable, and grid-responsive EV charging infrastructures.

Micro-energy grids represent a promising avenue for localized power generation and distribution. This study delves into the development of an optimal dispatch and control strategy for a park micro-energy grid within the broader electricity market. By leveraging advanced algorithms and real-time data analysis, the proposed strategy aims to balance supply and demand while optimizing economic and environmental objectives. The model's effectiveness is evaluated through simulations, demonstrating its potential to enhance grid stability, reduce costs, and promote sustainable energy utilization.

The feasibility and performance of Photovoltaic (PV) systems are intimately linked to the prevailing meteorological conditions. This study presents a quantitative analysis of the impact of the meteorological environment on the viability of PV installations. Utilizing extensive data sets and advanced modeling techniques, we assess the influence of factors such as solar irradiance, temperature, and weather variability on PV system efficiency and energy yield. The results provide valuable insights for optimizing PV system design, deployment strategies, and energy production forecasts, ultimately advancing the transition towards sustainable solar energy solutions.