EARLY ACADEMIC PURSUITS

Zhijia Huang embarked on his academic journey at Shenzhen University, focusing on battery technology during his undergraduate and master's programs. His master's research concentrated on battery modeling and state estimation, significantly enhancing his expertise in complex system analysis and data processing. This period laid a foundational understanding of battery technologies, pivotal to his academic trajectory.

PROFESSIONAL ENDEAVORS

Transitioning to a doctoral program at the Beijing Institute of Technology, Huang shifted his research focus toward charging demand prediction and the planning of charging facilities within the realm of intelligent connected vehicles and electric drive, specifically targeting smart grid subdivisions. His work aims to tackle the challenges introduced by the increasing prevalence of electric vehicles (EVs), emphasizing sustainable energy solutions and the optimization of charging infrastructure layout.

CONTRIBUTIONS AND RESEARCH FOCUS ON CHARGING DEMAND FORECASTING

Huang's research primarily addresses the forecasting of urban charging loads and planning for charging infrastructure to accommodate the growing demands of EVs. By analyzing operational data from private passenger EVs in Beijing, he has developed a comprehensive model that considers travel patterns, urban road networks, and existing charging facilities. This model aims to predict the number of charging EVs and the required charging power with high accuracy, laying groundwork for optimal charging infrastructure planning.

IMPACT AND INFLUENCE

The urban charging load forecasting model proposed by Huang demonstrates significant potential for influencing the planning and development of EV charging infrastructure. With its ability to predict charging demands accurately, the model serves as a critical tool for urban planners and energy network developers, guiding the strategic deployment of charging facilities to meet future needs efficiently.

ACADEMIC CITES

Huang's scholarly work, comprising 8 journal publications indexed in SCI and SCIE with a cumulative impact factor of 36.4 and an H-index of 6, underscores his contributions to the field. His research outputs are well-cited, with 127 citations in Scopus/Web of Science, illustrating the recognition and relevance of his work within the academic community.

LEGACY AND FUTURE CONTRIBUTIONS

As Huang continues his research in intelligent connected vehicles and smart grid technology, his efforts are poised to leave a lasting impact on the development of sustainable energy solutions and the integration of EVs into urban environments. His focus on charging demand forecasting and infrastructure planning addresses key challenges in the transition to greener transportation options, setting a foundation for future innovations in the field.

Dr LEI BO - Power station - Best Researcher Award

China University of South China - China

AUTHOR PROFILE

SCOPUS

ORCID

EARLY ACADEMIC PURSUITS

Bo Lei's academic journey commenced with a Bachelor of Science degree in Geological Engineering from the China University of Mining & Technology. He later pursued a Ph.D. in Geology of Coalbed Methane at the same institution under the supervision of Professor Yong Qin. Lei's early academic pursuits laid the groundwork for his subsequent Power station contributions to the field of geosciences.

PROFESSIONAL ENDEAVORS

Following the completion of his doctoral studies, Bo Lei embarked on a career as a Lecturer at the School of Resource, Power station Environment and Safety Engineering at the University of South China. He also undertook a visitor position at the Institut de Physique du Globe de Paris, Université Paris Cité, from 2021 to 2022. Lei's professional endeavors have spanned teaching, research, and collaborative engagements with international institutions.

CONTRIBUTIONS AND RESEARCH FOCUS ON POWER STATION

Bo Lei's research has primarily focused on radon exhalation, coalbed methane, and geological controls of gas content in coal reservoirs. His publications encompass a wide range of topics, including the identification of customer groups for demand-side management services, energy decision frameworks, and the estimation of radon flux data in China. Lei's research contributions have significantly advanced understanding in the fields of energy management, environmental science, and geological engineering.

IMPACT AND INFLUENCE

Through his publications and research activities, Bo Lei has made a substantial impact on the academic community and industry practitioners. His work on radon exhalation and coalbed methane has contributed to the development of sustainable energy strategies and improved understanding of geological phenomena. Lei's collaborations with international scholars and institutions have facilitated knowledge exchange and enhanced global awareness of key environmental and energy-related challenges.

ACADEMIC CITES

Bo Lei's research has been widely cited in academic literature and conference proceedings, reflecting the relevance and impact of his contributions. His publications have served as valuable resources for scholars and researchers in fields such as energy exploration, environmental science, Power station and geological engineering. Lei's citation record underscores the significance of his work in advancing scientific knowledge and informing policy discussions.

LEGACY AND FUTURE CONTRIBUTIONS

As Bo Lei continues to pursue his academic and professional endeavors, his legacy is expected to endure through his ongoing commitment to research excellence and innovation. His future contributions are likely to further enhance understanding of geological processes, Power station, energy management strategies, and environmental sustainability. Lei's interdisciplinary approach and collaborative efforts are poised to drive positive change in academia, industry, and policymaking spheres.

NOTABLE PUBLICATIONS

A comprehensive review of radioactive pollution treatment of uranium mill tailings 2023(2)

Comparison of radon adsorption properties under dynamic radon exhalation 2023(1)

Analysis of equivalent thickness of geological media for lab-scale study of radon exhalation 2022(4)

Mr. Zhijia Huang – Charging demand forecasting – Best Researcher Award

Mr. Zhijia Huang - Charging demand forecasting - Best Researcher Award

Beijing Institute of Technology - China