Guest Editorial Introduction to the Special Section on More Electric Vehicles
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Summary
This guest editorial introduces a special section of the *IEEE Transactions on Vehicular Technology* dedicated to "More Electric Vehicles," motivated by the urgent need for transport sector electrification to meet global energy transition goals. Citing the International Energy Agency’s 2016 report, the authors highlight the requirement to increase electrified road vehicles from 1 million to 100 million within 15 years to limit global warming to +2 °C. The section aims to promote research excellence in vehicle power and propulsion, focusing on system-level developments. The papers included were selected from submissions to the 16th IEEE Vehicle Power and Propulsion Conference (VPPC) held in Hanoi in 2019, requiring substantial novel contributions beyond the original conference papers. From 24 submissions, six papers were accepted for publication. The selected research addresses critical challenges in battery design, charging strategies, thermal management, and energy-efficient driving. The first two papers focus on battery systems. Pelletier et al. propose a framework for designing high-power battery packs using Constraint Satisfaction Problems and multi-objective optimization, validated through an electric motorcycle case study. Jinlei et al. present an optimized charging strategy for aged lithium-ion batteries that balances charging time and temperature rise, utilizing particle swarm optimization and fuzzy reasoning to mitigate aging effects. The next two papers address thermal management during vehicle operation. Amamou et al. introduce an adaptive self-heating methodology for proton exchange membrane fuel cells (PEMFC) to enable cold starts in hybrid electric vehicles, maximizing internal heat through an online adaptive algorithm. Park and Ahn apply stochastic model predictive control to battery thermal management, using historical driving data to estimate future heat generation and minimize energy consumption while maintaining safe temperatures. The final two papers explore eco-driving and grid interaction. Jia et al. develop an energy-optimal adaptive cruise control for electric vehicles using space-domain nonlinear model predictive control, which accounts for traffic and road conditions to improve energy efficiency. Botte et al. analyze the impact of eco-driving strategies in railway systems on the primary distribution power grid, modeling the interaction between metro operations and grid state variables using data from Naples Metro Line 1. Collectively, these studies provide advanced methodologies for optimizing the performance, efficiency, and integration of electrified transport systems.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-19 |
| archive | success | unpaywall | — | — | 2 | 2026-06-25 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-19 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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