Demo Data from EDBT 2026 / reviewers in the wild / expert
Ramin Tafazzoli Mehrjardi
dblp:234/0879
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0001-5951-6229ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids › energy storage
battery management |
0.5 | 1 | 2021 | State of the Art and Trends in Electric and Hybrid Electric Vehicles · Proc. IEEE 2021 |
Energy systems and smart grids
electric vehicle |
0.5 | 1 | 2021 | State of the Art and Trends in Electric and Hybrid Electric Vehicles · Proc. IEEE 2021 |
Energy systems and smart grids › electric vehicle
hybrid electric vehicles |
0.5 | 1 | 2021 | State of the Art and Trends in Electric and Hybrid Electric Vehicles · Proc. IEEE 2021 |
Energy systems and smart grids
energy storage |
0.1 | 1 | 2021 | State of the Art and Trends in Electric and Hybrid Electric Vehicles · Proc. IEEE 2021 |
Methods — techniques the papers use, named apart from their topics
optimization · 0.5control · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | State of the Art and Trends in Electric and Hybrid Electric VehiclesabstractElectric and hybrid electric vehicles (EV/HEV) are promising solutions for fossil fuel conservation and pollution reduction for a safe environment and sustainable transportation. The design of these energy-efficient powertrains requires optimization of components, systems, and controls. Controls entail battery management, fuel consumption, driver performance demand emissions, and management strategy. The hardware optimization entails powertrain architecture, transmission type, power electronic converters, and energy storage systems. In this overview, all these factors are addressed and reviewed. Major challenges and future technologies for EV/HEV are also discussed. Published suggestions and recommendations are surveyed and evaluated in this review. The outcomes of detailed studies are presented in tabular form to compare the strengths and weaknesses of various methods. Furthermore, issues in the current research are discussed, and suggestions toward further advancement of the technology are offered. This article analyzes current research and suggests challenges and scope of future research in EV/HEV and can serve as a reference for those working in this field. Mehrdad Ehsani, Krishna Veer Singh, Hari Om Bansal, Ramin Tafazzoli Mehrjardi |
Proc. IEEE | 4 |