Sheldon S. Williamson’s research while affiliated with University of Ontario Institute of Technology and other places

... Integrating two or more sources associated with energy production technologies can improve the system, especially considering the irregular nature of many renewable energy sources. For instance, since PV systems rely on environmental conditions, utilizing multiple sources ensures B Yadvendra Singh singhyadvendra1995@gmail.com 1 Thapar Institute of Engineering and Technology, Patiala, Punjab, India a more reliable power supply to the load [3]. Energy storage solutions provide stability against the variability linked to alternative energy sources and the power grid [4]. ...

Reference:

Implementation of a multiport power converter for a hybrid renewable energy system

... Several works, such as Qu et al. [43] and Gao et al. [44] showed that the battery temperature rise is directly related to its degradation. It is very crucial to consider this ΔT/Δt during charging to inhibit battery capacity degradation, especially at low temperatures [45], [46]. ...

Reference:

Health-Conscious Fast Charging for Electrified Aircraft Batteries Using a Multistage-Constant-Current Temperature-Controlled Strategy

... Despite these limitations, ongoing research explores various applications, such as KANs in continuous optimal control problems (e.g. [26], applying KANtrol to the 2D heat equation) and core temperature estimation for lithium-ion batteries without surface sensor feedback [27]. The proposed Bayesian KAN can be highly valuable for uncertainty quantification across multiple scenarios. ...

Reference:

Uncertainty quantification with Bayesian higher order ReLU-KANs

... Zakeri et al. (Zakeri et al. 2021) proposed energy storage policies offer a positive return on investment when pairing a battery with solar photovoltaic without the need for central coordination of decentralized energy storage or provision of auxiliary services with electricity storage in buildings, and the optimum storage size is seen to be important to maximize the profitability of solar photovoltaic battery energy storage systems. On the other hand, Samanta et al. (Samanta et al. 2024) stated that when electric vehicles in homes and charging stations are parked and not charged, all electric vehicles in a local area can be combined to form a decentralized energy storage system, and thus electric vehicle owners can earn money through participation in electricity markets. ...

Reference:

Enhancing decentralized energy storage investments with artificial intelligence-driven decision models

... However, the voltage curve shows a greater drop in the initial period of the discharge cycle. This can be attributed to the behavior of the battery, indicating less usable capacity at low ambient temperatures [16]. Thus, comparing Fig. 9 with Fig. 5 and Fig. 7, it is observed that the voltage plot provides less discharge capacity at 0°C compared to 25°C and 40°C, respectively. ...

Reference:

Thermal Characterization of Current and Next-Generation Lithium-ion Battery for E-mobility Applications

... Concurrently, power machinery virtual testing has become indispensable in modern automotive development [3]. When integrated with hardware-in-the-loop (HIL) testing, power machinery virtual testing creates a realistic environment that effectively validates the control algorithms and system integration of electronic control units (ECUs) [4,5]. However, the successful execution of virtual testing requires the precise simulation and acquisition of the diverse signals needed by the ECU [6]. ...

Reference:

Design of a Single-Edge Nibble Transmission Signal Simulation and Acquisition System for Power Machinery Virtual Testing

... Modern vehicles especially in EVs CAN communication is dominantly used. Therefore, for practical applications of digital twin technology and cloud computing enabled BMS real time extraction and analysis of raw data coming from an on-board BMS is essential [5]. Few studies in literature reported some tools for BMS data acquisition and visualization however two major research gaps include none of them used an automotive grade BMS and the CAN communication protocol is considered [6], [7]. ...

Reference:

Real-time CAN Data Acquisition and Visualization: Synerging Physical-to-Virtual (P2V) Twinning of Automotive Battery Management Systems

... From the EV perspective, h1EVs will be the dominant transportation option in the future. The current research on this topic focuses on on-board charging modules, stationary charging stations, fast-charging stations using high DC power, etc. References [1][2][3][4][5][6][7][8][9][10] address the applications of DABs and resonant DABs for EVs. ...

Reference:

Classification of Design Methodologies of Dual Active Bridge-Based Resonant Converters for Battery Energy Storage Systems

... Evaluating various coil geometries is crucial for selecting the optimal design, as it influences the inductance, intercapacitance, resonant frequency, coupling coefficient, and overall system performance. Additionally, the geometry affects alignment tolerance and efficiency, ensuring that the final design meets the specific requirements of WPT applications [14][15][16][17][18][19][20]. Numerous studies have investigated various conventional coil geometries. ...

Reference:

Performance Comparison of Coil Geometries in Self-Resonant Wireless Power Transfer System

... Moreover, such models are, in general, capable of virtually replicating the dynamic behavior of the battery with higher fidelity, while their application in real-time systems represents a high challenge on the model structure and complexity as well as on the applied hardware. To handle the computational burden of more complex models, big data processing as well as big data storage, distribution of computational and storage resources between BMS, edge device and distributed computing unit, as for example cloud [5][6][7], is envisaged and exploited. Based on our thorough literature search, it appears that the existing published papers lack a comprehensive overview of both model-driven and data-driven battery modeling methods, particularly in terms of covering all aspects of electro-thermal, electro-mechanical and electrochemical-thermal models. ...

Reference:

Driving the future: A comprehensive review of automotive battery management system technologies, and future trends