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Latest News and Articles

Data Acquisition Knowledge Base

Supraharmonics in Modern Power Grids: A Power Quality Challenge

Supraharmonics, high-frequency disturbances between 2 kHz and 150 kHz, are an emerging power quality challenge in modern grids driven by widespread use of power electronic devices such as EV chargers and inverters. Unlike traditional harmonics, they are non-synchronous and harder to measure, yet can cause significant voltage distortion, equipment stress, and system instability. Addressing them requires advanced measurement tools, deeper analysis, and new standards.

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Grant Maloy Smith

4/17/2026

Case Studies

Optimizing EV Battery Management by AI-Driven Data Transformation

AI-driven data transformation improves EV battery management by turning complex measurement data into accurate predictive models. Using Dewesoft’s high-precision data acquisition and ETAS’s modeling tools, the integrated toolchain enhances State of Charge estimation and range prediction. This reduces range anxiety, enables real-time decision-making, and supports more reliable, efficient, and intelligent electric vehicle systems.

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Philipp Sven

4/17/2026

Case Studies

Dynamic-Response-Based Assessment of Degradation in Complex Historic Sites

A dynamic-response-based framework enables early detection of structural degradation in complex historic sites by combining continuous monitoring with BIM, GIS, and Digital Twins. Applications in Pozzuoli and Pompeii show how subtle performance changes can be tracked and translated into actionable indicators, supporting proactive risk management, maintenance planning, and informed decision-making under evolving hazard conditions.

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Luigi Petti and Carmine Lupo

4/17/2026

Case Studies

Electro-Thermal Powertrain Model Validation of a Formula SAE Race Car

E-Team Squadra Corse validated electrical and thermal models of a Formula SAE electric race car using high-precision Dewesoft measurements during endurance testing. The results showed high accuracy, with battery voltage error below 2% and motor temperature within 5°C, enabling reliable real-time models for predictive power and thermal management and improved race performance.

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Francesco Giuseppe Quilici, Salvatore Mastrangelo, Matteo Raffaelli, and Leonardo Bove

4/16/2026

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