Latest Past Events

[Seminar] Driving the Transition to Net-Zero: Innovations in EV Charging Systems for a Low Carbon Future

LT4A, SIT@NYP, 567739

Driving the Transition to Net-Zero: Innovations in EV Charging Systems for a Low Carbon Future by Dr Mohamed Dahidah Brief/Abstract: The world is under increasing pressure to limit greenhouse gas emissions, and many countries have committed to achieving a net-zero economy within the next decade or two. Transport electrification has been identified as a key enabler in reaching this goal. Consequently, the Electric Vehicle (EV) market has experienced rapid growth over the past few years, with the global EV stock projected to reach 245 million units by 2030. The development of battery storage systems with higher energy and power densities is addressing key challenges, such as the limited driving range and long charging times of current EVs. However, the lack of convenient charging infrastructure remains one of the main hurdles to widespread EV adoption. Innovative and smart solutions are therefore essential to overcome this barrier and accelerate the transition to low carbon transport. This talk will present findings from Newcastle University’s research projects on EV charging systems, with a focus on the design of modular and efficient power electronic systems that feature adaptability and scalability. The discussion will include both conductive and inductive charging technologies. About the speaker: Dr Mohamed Dahidah (IEEE, Senior Member) currently is a Reader in power electronic systems, Director of Postgraduate Taught (PGT) programmes for EEE, Deputy Editor-in-Chief of IET Power Electronics journal and the Chair of IEEE ISA chapter, UK & Ireland Section. Dr Dahidah is an expert in the field of advanced power electronic converters and their applications for transportation and renewable energy integration. He is the recipient of many prestigious awards, including the 2019 IET Outstanding Deputy Editor-in-Chief Award and the Girling Watson Fellowship Award, Australia. Dr Dahidah has published over 100 journal and conference papers and attracted over £2.4 million from research and PhD scholarship funding from major funding bodies. Currently, he is leading projects on DC fast charging and wireless charging systems for EV applications with findings being published in high standards IEEE Transactions publications. Date: 3 February 2025 Time: 5:00 PM SGT Venue: LT4A, SIT@NYP, 567739

[DLP] Intelligent Power Management and Control of Electric Vehicles Using Reinforcement Learning by Prof Rajesh Kumar

Online

We are pleased to invite you to an online Distinguished Lecture Program (DLP) on "Intelligent Power Management and Control of Electric Vehicles Using Reinforcement Learning" by Professor Rajesh Kumar, University of Johannesburg. Date: 16 December 2024 ⏰ Time: 3:00 PM SGT Venue: Online (Zoom) The seminar aims to discuss the energy management system (EMS) for hybrid electric vehicles (HEVs) based on a model-based and model-free reinforcement control mechanism. To improve the learning process and reliability of the EMS framework, various deep-Q-network (DQN), deep-deterministic-policy gradient (DDPG), reinforcement learning algorithms, namely Q learning, SARSA, Trust-Region-Policy-Optimization (TRPO), and Proximal-Policy-Optimization (PPO), Soft-Actor-Critic (SAC), Twin-Delayed-Deep-Deterministic-Policy-Gradients (TD3), Hindsight-Experience-Replay (HER), Distributional-Reinforcement-Learning-with-Quantile-Regression (QR-DQN), and Asynchronous-Advantage-Actor-Critic (A3C) are analysed. Don't miss this opportunity to gain insights into the future of EV power management! ➡️ Register here: https://singaporetech.zoom.us/meeting/register/tJAvf--qrTwuHNXlR168BFRNTex-ZcxhQ2tX #IEEE #PowerAndEnergy #ElectricVehicles #ReinforcementLearning #HybridElectricVehicles #Singapore

[Seminar] Centre for Power Engineering Seminars: Assistant Professor Yue Chen & Assistant Professor Changhong Zhao

Nanyang Technological University, School of EEE , LT 29, South Spine

The IEEE PES Singapore Chapter is pleased to announce an upcoming seminar featuring two esteemed speakers from the Chinese University of Hong Kong (CUHK). Date: 5th December 2024 (Thursday) Time: 2:30 PM – 4:00 PM Venue: LT 29, South Spine, NTU The event will include two talks focusing on advanced methodologies in power systems optimization: Speaker 1: Assistant Professor Yue Chen Time: 2:30 PM – 3:00 PM Title: A Differentially Private Quantum Neural Network for Probabilistic Optimal Power Flow Prof. Chen will present her work on applying quantum neural networks to address probabilistic optimal power flow challenges while ensuring data privacy. The talk will also highlight related research on optimization and market design in power systems. For more information: https://site.ieee.org/singapore-pes/files/2024/11/Centre-for-Power-Engineering-Seminar.pdf Speaker 2: Assistant Professor Changhong Zhao Time: 3:00 PM – 3:30 PM Title: Accelerating Large-scale Power Flow Optimization via Distributed Learning and Computing Prof. Zhao will discuss distributed algorithms designed to enhance computational efficiency for large-scale nonlinear power flow problems. Broader insights into optimization and control for networked systems will also be shared. For more information: https://site.ieee.org/singapore-pes/files/2024/11/Centre-for-Power-Engineering-Seminar.pdf

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