electric vehicle
PulseAugur coverage of electric vehicle — every cluster mentioning electric vehicle across labs, papers, and developer communities, ranked by signal.
- 2026-05-21 product_launch Release of data on China's electric vehicle charging infrastructure.
2 天有情绪数据
-
AI agent improves EV battery fault diagnosis with text modeling
Researchers have developed VBFDD-Agent, an AI system designed to improve fault detection and diagnosis for electric vehicle batteries. This agent transforms raw battery data into natural language descriptions, creating …
-
China's EV Charging Infrastructure Surges 47.4% to 21.95 Million Points
As of April 2026, China's electric vehicle charging infrastructure has expanded significantly, with a total of 21.955 million charging points, marking a 47.4% year-over-year increase. Public charging stations accounted …
-
User blames Trump admin for China's AI and EV dominance
A Mastodon user criticizes the first Trump administration for allowing China to dominate critical mineral supply chains through its Belt and Road Initiative. This has led to China's current leadership in electric vehicl…
-
Weekly reading list spans AI, EVs, and cybersecurity
This week's reading list includes a variety of topics, from software and data architecture to artificial intelligence and electric vehicles. The curated content also touches upon management, cybersecurity, and economics…
-
Europe's EV market needs cheap, small cars for mass adoption
Europe's electric vehicle market is facing a critical juncture, shifting from early adopters to the mass market. Success hinges on making EVs smaller and significantly cheaper, with a target price of around €10,000 for …
-
Morgan Stanley: China to lead global manufacturing with humanoid robots
Morgan Stanley analysts predict that humanoids and robots will be the next major driver of China's manufacturing dominance over the next decade. The report highlights parallels with China's rise in the electric vehicle …
-
AI model simulates electric vehicle charging systems with grid awareness
Researchers have developed a configurable, grid-aware Agent-Based Model (ABM) to analyze electric vehicle (EV) charging systems. This model, implemented in Python using the SimPy framework, integrates diverse EV behavio…
-
Researchers develop semi-Markov RL for city-scale EV ride-hailing
Researchers have developed a novel semi-Markov reinforcement learning approach for optimizing city-scale electric vehicle (EV) ride-hailing fleets. This method addresses complex decisions like dispatch, repositioning, a…
-
Researchers develop semi-Markov RL for EV ride-hailing, boosting profits and ensuring feasibility.
Researchers have developed a novel Semi-Markov Reinforcement Learning approach for managing large-scale electric vehicle ride-hailing fleets. This method ensures that dispatch, repositioning, and charging decisions stri…