Evidence map›Paper›PMID 38177111›Full record

ArticleNature communications2024

A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles.

Ruixue Liu, Guannan He, Xizhe Wang, Dharik Mallapragada, Hongbo Zhao, Yang Shao-Horn, Benben Jiang

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Risk-aware electricity dispatch with large-scale distributed renewable integration under climate extremes.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Texas: A green hydrogen hub to decarbonize the United States and beyond.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ruixue Liu *Department of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.ORCID http://orcid.org/0000-0002-9753-0336
Guannan He *Department of Industrial Engineering and Management, College of Engineering, Peking University, Beijing, China. gnhe@pku.edu.cn.ORCID http://orcid.org/0000-0002-5055-076X
Xizhe WangDepartment of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China.
Dharik MallapragadaMIT Energy Initiative, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0330-0063
Hongbo ZhaoDepartment of Chemical and Biological Engineering, Princeton University, Princeton, NJ, USA.
Yang Shao-HornMIT Energy Initiative, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, USA. shaohorn@mit.edu.ORCID http://orcid.org/0000-0001-8714-2121
Benben JiangDepartment of Automation, Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China. bbjiang@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-1288-3798

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62192751National Natural Science Foundation of China (National Science Foundation of China) 62273197
6 · The paper itself

Abstract

Flexibility has become increasingly important considering the intermittency of variable renewable energy in low-carbon energy systems. Electrified transportation exhibits great potential to provide flexibility. This article analyzed and compared the flexibility values of battery electric vehicles and fuel cell electric vehicles for planning and operating interdependent electricity and hydrogen supply chains while considering battery degradation costs. A cross-scale framework involving both macro-level and micro-level models was proposed to compute the profits of flexible EV refueling/charging with battery degradation considered. Here we show that the flexibility reduction after considering battery degradation is quantified by at least 4.7% of the minimum system cost and enlarged under fast charging and low-temperature scenarios. Our findings imply that energy policies and relevant management technologies are crucial to shaping the comparative flexibility advantage of the two transportation electrification pathways. The proposed cross-scale methodology has broad implications for the assessment of emerging energy technologies with complex dynamics.

Identifiers

PMID38177111
PMCPMC10766983

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.