Williamson Battery Technologies delivers advanced lithium battery systems, solid-state energy storage, battery thermal management (BTMS), intelligent EMS, industrial rack cabinets, telecom power syste...
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Cheng Gong''s research interests revolve around advanced solar energy harvesting and device physics, particularly inverted perovskite solar cells . He investigates how carrier transport
To address this issue, an improved VarifocalNet has been proposed to enhance both the detection speed and accuracy of defective photovoltaic modules.
Within this research, we introduce a streamlined yet effective model founded on the "You Only Look Once" algorithm to detect photovoltaic panel defects in intricate settings.
This study explores deep learning-based techniques for identifying and classifying visual defects in photovoltaic modules, including cracking, shading, decolorization, and delamination, to
To address this, a photoluminescent RC coating with spectrally selective reflectivity is developed to be integrated it with bifacial photovoltaic (biPV) panels.
Currently, Dr. Gong is involved in two projects: one with Indian and Chinese stakeholders to design nationally determined contribution (NDC) pathways, and another focused on technology choices
This study presents an implementation of a deep learning model to detect solar panel defects using an advanced object detection algorithm called You Look Only Once, version 7
A promising technological advancement has enabled the installation of PV panels in the spaces on the top of the sleeper between the two rails, further exploiting the solar potential of the
This validates our success in developing a photothermal, transparent, and superhydrophobic coating with excellent anti-icing capabilities, suitable for use on photovoltaic
In this work, a new image classification network based on the MPViT network structure is designed to solve the problem of fault detection and diagnosis of photovoltaic panels using image
High-density LiFePO4 and solid-state battery modules with integrated BMS and advanced thermal runaway prevention – ideal for industrial peak shaving and renewable integration.
Active liquid-cooled thermal management combined with AI-driven energy management systems (EMS) for optimal battery performance, safety, and predictive analytics.
Modular energy storage rack cabinets (IP55) and telecom power systems (-48V DC) for data centers, telecom towers, and industrial backup applications.
Solar-storage-charging (S2C) hubs and UL9540A certified containerized BESS (up to 5MWh) for utility-scale projects and microgrids.
We provide advanced lithium battery systems, solid-state storage, battery thermal management (BTMS), intelligent EMS, industrial rack cabinets, telecom power systems, solar-storage-charging (S2C) integration, and UL9540A certified containers for commercial, industrial, and renewable energy projects across Europe and globally.
From project consultation to after-sales support, our engineering team ensures safety, reliability, and performance.
Industriestraße 22, Gewerbegebiet Nord, 70469 Stuttgart, Baden-Württemberg, Germany
+49 711 984 2705 | +49 160 947 8321 | [email protected]