Xnovo Technology has deployed an automated 3D computed tomography (3D-CT) inspection system at the BMW Group's Cell Manufacturing Competence Centre (CMCC) in Parsdorf, Germany. The system combines deep learning, image processing, and high-throughput … [Read more...]
Idle EV charging capacity powers new edge AI network
Xeal has launched Laitent, an edge inference computing network designed to use available electrical capacity at EV charging sites when that capacity is not required for vehicle charging. Xeal operates more than 1,600 EV charging sites with over 200 … [Read more...]
AI tool analyzes EV charging network performance
Driivz has introduced a new AI-powered Network Optimization Agent designed to help electric vehicle (EV) charging operators use network data to improve charging performance and operations. The tool, called NOA, analyzes data generated across … [Read more...]
New AI platforms support battery electrolyte formulation and research
Automat Solutions has launched two AI-based platforms for battery electrolyte development and materials research: LyteMatch and LyteGuide. LyteMatch allows battery developers to search and compare electrolyte formulations based on chemistry, … [Read more...]
AI platform for V2G and charging-energy management
Tellus Power has introduced Tellus Energy AI, a purpose-built model designed to coordinate computing workloads with electricity prices, grid conditions, and available energy resources. The platform combines near-real-time electricity-price tracking … [Read more...]
The engineering questions behind AI in EV development
Artificial intelligence (AI) has worked its way into nearly every stage of electric vehicle (EV) development. It shows up early, when researchers evaluate new battery materials, and it stays long after deployment, when operators manage charging … [Read more...]
Part II: How EV charger reliability changes at scale
Electric vehicle supply equipment (EVSE) reliability is often discussed in terms of uptime, but large charging networks expose a more practical question. A charger either works reliably across real field conditions, or it creates an operations burden … [Read more...]
How predictive maintenance can reduce EV charger downtime
With the demand for electric vehicle (EV) fleets and fast-charging networks to expand, charger uptime is becoming a crucial aspect of infrastructure reliability. Charging stations are moving beyond convenience amenities and becoming critical … [Read more...]
How AI-assisted simulation is supporting EV battery materials research
Battery development is increasingly shaped by what engineers can predict before a material reaches the lab. For electric vehicle (EV) programs, that shift matters because material choices influence how a battery performs over time and how reliably it … [Read more...]
AI battery software platform supports EV health and safety monitoring
Eatron Technologies and NEXTY Electronics announced progress in their partnership focused on AI-based battery management and diagnostics for electric vehicles (EV) and energy storage systems in Japan. The companies said the collaboration has … [Read more...]
AI-assisted simulation platform aims to speed battery materials research
Matlantis announced a new AI agent integration for its atomistic simulation platform that allows researchers to create, edit, and run materials simulations using natural-language instructions. The release includes a public Skills library on GitHub … [Read more...]
How are AI-assisted models changing EV battery thermal management strategies?
Artificial intelligence (AI) battery thermal management now relies more on models that are primarily data-driven. Physics-based thermal models are accurate under controlled conditions but cannot adapt in real time to the variable loads, charge rates, … [Read more...]
Sonatus joins SDVerse to expand access to vehicle data and AI platforms
Sonatus has joined SDVerse, a B2B marketplace for automotive software founded by General Motors, Magna, and Wipro. The platform enables OEMs and Tier-1 suppliers to discover and evaluate software for vehicle development. Through this ecosystem, … [Read more...]
The engineering questions behind today’s EV systems
Electric vehicle (EV) design now requires a system-level approach. Decisions in one subsystem directly influence performance across the entire vehicle. Engineering work is shifting toward managing how these interactions behave under real operating … [Read more...]
New AI-based tool for EV charging network diagnostics
AMPECO has introduced CoOperator, an AI-based operations tool designed to support electric vehicle (EV) charging network management. The system provides automated diagnostics, a conversational interface for querying network data, and the ability to … [Read more...]
MATTER advances battery control with real-time sensing and adaptive charging
MATTER, an India-based electric bike and e-mobility company, and Iontra Inc. have announced a partnership to integrate Iontra’s battery sensing and adaptive charging technology into MATTER’s AI-Defined Vehicle (AIDV) platform, a system-level … [Read more...]