Evidence map›Paper›PMID 36068253›Full record

ArticleScientific reports2022

High-precision robust monitoring of charge/discharge current over a wide dynamic range for electric vehicle batteries using diamond quantum sensors.

Yuji Hatano, Jaewon Shin, Junya Tanigawa, Yuta Shigenobu, Akimichi Nakazono, Takeharu Sekiguchi, Shinobu Onoda, Takeshi Ohshima, Keigo Arai, Takayuki Iwasaki and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
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  4. Review
  5. Review
  6. Review
  7. Article
  8. A wide dynamic range diamond quantum sensor as an electric vehicle battery monitor.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024
    Article
  9. 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

11 authors.

Yuji HatanoDepartment of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan.
Jaewon ShinYazaki Corporation, Shizuoka, Japan.
Junya TanigawaYazaki Corporation, Shizuoka, Japan.
Yuta ShigenobuDepartment of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan.
Akimichi NakazonoYazaki Corporation, Shizuoka, Japan.
Takeharu SekiguchiDepartment of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan.
Shinobu OnodaNational Institutes for Quantum Science and Technology, Gunma, Japan.
Takeshi OhshimaNational Institutes for Quantum Science and Technology, Gunma, Japan.
Keigo AraiDepartment of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan.
Takayuki IwasakiDepartment of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan.
Mutsuko HatanoDepartment of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, Tokyo, Japan. hatano.m.ab@m.titech.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate prediction of the remaining driving range of electric vehicles is difficult because the state-of-the-art sensors for measuring battery current are not accurate enough to estimate the state of charge. This is because the battery current of EVs can reach a maximum of several hundred amperes while the average current is only approximately 10 A, and ordinary sensors do not have an accuracy of several tens of milliamperes while maintaining a dynamic range of several hundred amperes. Therefore, the state of charge has to be estimated with an ambiguity of approximately 10%, which makes the battery usage inefficient. This study resolves this limitation by developing a diamond quantum sensor with an inherently wide dynamic range and high sensitivity for measuring the battery current. The design uses the differential detection of two sensors to eliminate in-vehicle common-mode environmental noise, and a mixed analog-digital control to trace the magnetic resonance microwave frequencies of the quantum sensor without deviation over a wide dynamic range. The prototype battery monitor was fabricated and tested. The battery module current was measured up to 130 A covering WLTC driving pattern, and the accuracy of the current sensor to estimate battery state of charge was analyzed to be 10 mA, which will lead to 0.2% CO

Identifiers

PMID36068253
PMCPMC9448744

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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.