Recently, Associate Professor of the Department of Electronic and Electrical Engineering (EEE) at Southern University of Science and Technology (SUSTech) Jian Linni has led his research team to make excellent studies in the V2G technology and the wireless electric vehicle charging (WEVC) technology. His research team has published two academic papers in succession in Renewable and Sustainable Energy Reviews (IF = 10.556), the worldwide top journal in energy conversion and management.
Due to the deterioration of global environment and the depletion of fossil fuels, the electrification of transportation is a promising way to achieve the sustainable development of transportation sector. More and more automotive manufacturers have commenced on developing their electric vehicle (EV) products in order to expand into this emerging market. With the policy incentives and technology advancements, it is foreseeable that the EV market is expected to usher in a strong growth in the next decades, thereby resulting in serious impacts on generation, transmission and distribution of electricity. It has been demonstrated that coordinated charging/discharging of EVs can provide an effective and economic solution to integrate these additional charging loads into power grids. And, the V2G technology is the technical prerequisite to attain the friendly bidirectional energy exchange between EVs and grids for smart charging.
One paper, entitled “Integrating plug-in electric vehicles into power grids: A comprehensive review on power interaction mode, scheduling methodology and mathematical foundation,” comprehensively reviewed the power interaction mode between EVs and grids, and the scheduling methodology for the V2G implementation. Specifically, technical requirements, grid impacts and battery degradation regarding each power interaction mode are discussed; the operating processes of centralized and decentralized V2G approaches are introduced and compared. More importantly, it is noted that few attentions are given to the solving algorithms of programming models used for optimizing the scheduling strategy of EVs. In this context, this paper also illuminates the mathematical foundation on optimization techniques for the optimal V2G strategy, and provides new insights for evaluating these models.
SUSTech is the first affiliation of this paper, and Associate Professor Jian Linni is the only corresponding author. The first author of this article is research assistant Zheng Yanchong, with the PG student Niu Songyan and the PhD candidate Shang Yitong also making important contributions to this paper.
Original article – https://doi.org/10.1016/j.rser.2019.05.059
The second paper was entitled “The state-of-the-arts of wireless electric vehicle charging via magnetic resonance: principles, standards and core technologies.” With the widespread adoption of electric vehicles, it is a pressing need to solve their charging problems. Dispensed with awkward plugs and wires, WEVC technology realizes power transmission via magnetic field without electrical contact. It is safe, reliable and user-friendly and therefore becomes more and more attractive in recent years.
A research group led by Associate Professor Jian Linni focused on the scenario where wireless charging technology is applied to electric vehicles. They comprehensively reviewed the state-of-the-arts of this field. To shed light on the design of a fully-function wireless charging system, they also reported the latest progress of corresponding auxiliary technologies, including parking alignment, magnetic shielding and foreign object detection. Moreover, a comparative study is conducted among the latest industry standards related to the WEVC.
SUSTech is the first affliction of this paper. Associate Professor Jian Linni is the corresponding author. The first author of this article is PG student Niu Songyan. SUSTech undergraduates Xu Haiqi and Sun Zhirui also made important contributions to this paper.
The related research work of these two papers has been supported by the projects of National Natural Science Foundation of China, Natural Science Foundation of Guangdong Province and the Science and Technology Innovation Committee of Shenzhen.
Original article – https://doi.org/10.1016/j.rser.2019.109302