Hirosaki University Repository for Academic Resources

弘前大学博士（医学）掲載誌：PLoS One, 16(10):e0258852, 202

小山, 一茂

English

Association between mild cognitive impairment and lumbar  degenerative disease in a Japanese community: A cross-sectional study

弘前大学博士（医学）掲載誌：European Journal of Physical and Rehabilitation Medicine, 57(5):720-730,202

古川, 正和

Japanese

Effect of gait training using Hybrid Assistive Limb on gait ability and the risk for overwork weakness in the lower limb muscles in patients with neuromuscular disease: a proof-of-concept study

弘前大学博士（医学）掲載誌：Renal Failure, 44(1):137-145, 202

唐沢, 貴生

Glomerular endothelial expression of type I IFN-stimulated gene, DExD/H-Box Helicase 60 via Toll-like receptor 3 signaling:  Possible involvement in the pathogenesis of lupus nephritis

弘前大学博士（医学）掲載誌：体力・栄養・免疫学雑誌, 32(1):11-18, 202

福田, はるか

一般地域住民における口臭の原因と精神心理的影響に関する研究

新村, 潔人

電気透析法によるリチウム資源回収技術

弘前大学修士（地域共創社会学

劉, 珊珊

育児ネットワークの信頼関係に関する社会学的研究

Aisikaer, Anniwaer

Utilization of Waste Biomass Resources for Hydrogen-rich Syngas Production via Steam Co-gasification Process

水戸部, 大地

様式第８号（第１８条，第３６条関係） 
 
 
学位論文審査結果の概要 
氏 名 水戸部大地 
学位論文審査委員氏名 
主査 鈴木 裕史 
副査 宮永 崇史 
副査 御領 潤 
副査 小豆畑 敬 
副査 中澤 日出樹 
論 文 題 目 
厳密結合波解析を用いた金ナノ粒子アレイによる赤外吸収増大機構の解
明 
審査結果の概要（2,000字以内） 
本論文は近年注目されているメタマテリアルの先駆けともいえる金属不連続蒸着膜の赤外域におけ
る局所増大場の発現機構を数値シミュレーションにより解明したものである。シミュレーションには
有限差分時間領域法(FDTD)より計算時間が早くより厳密な厳密結合波解析(RCWA)を採用した。 
まず、赤外域におけるメタマテリアル構造の局所増大場発現機構には、Plasmonの励起をその原因
とする共鳴型機構と隙間への電場集中を考慮した非共鳴型機構が提案されている。そこで、蒸着膜に
類似したスケール・形状を持つ四角柱における増大場が、共鳴型か非共鳴型かを明らかにすることに
注目した。そのため、共鳴型の特徴である表面第一層効果(FLE)の検証を行った。その結果、この条
件では FLE が存在していないことを明らかにした。また、増大場は入射電場方向の粒子間ギャップ
に集中しており、かつギャップ内での強度が金属ナノ粒子壁面からの距離に従って振動していること
がわかった。これは、局所増大場がギャップに閉じ込められた入射光電場の干渉によるものであるこ
とを示しており、提案されている非共鳴型機構である角柱配列モデル(SCM)の性質とよく一致してい
ることを解明した。 
次に局所増大場が SCM によるものであることをさらに検証するため、粒子間ギャップサイズ／粒
子サイズ比(f)と金属体積分率(F)のいずれの形態パラメータが最重要であるかの解明を行った。f は
SCMに基づいたものであり、FはM-Gモデル等の有効媒質近似のものである。fと Fは互いの関数
になっており、例えば四角柱正方配列においては一方のみを独立に変化させることはできない。そこ
で、本論文では四角柱を回転させて四角柱間の最小ギャップを変化させるモデル(Fを固定し fのみを
変化させるモデル)、および電場方向に垂直な方向のみのギャップサイズを変化させるモデル(fを固定
し Fのみを変化させるモデル)を考案し、局所増大場が fにのみ依存していること、つまり SCMが増
大機構であることを明らかにした。 
最後に赤外吸収増大分光の応用範囲をより広げる目的で、簡便な方法でさらに測定感度を上げるた
めに金属四角柱配列構造と光学キャビティ効果との組み合わせの検証を行った。まず、真空(低屈折率
相) – 透明ポリマー(中屈折率相) – Si基板(高屈折率相)からなる系が疑似光学キャビティとして振舞
うことを確認した。さらに、この系における光学キャビティによる増大場がポリマー相上に配置した
四角柱アレイ層に作用し、四角柱アレイの隙間に配置されたモデル分子による赤外吸収が「アレイに
よる増大」×「キャビティによる増大」となることを明らかにした。さらに、光学キャビティの効果
をより増すためにポリマー相と基板相の間に Au 平面層を配置した系においてもシミュレーションを
行い、さらなる吸収増大が得られることを明らかにした。これらの系はスピンコート等の方法と蒸着
を組み合わせることで実現可能であり、簡便な方法で赤外分光法の感度を向上させることが可能であ
ることを明らかにした。 
以上のように、機構を解明し工業的応用まで示した本論文は合格とする。 
 
 
 
 
 
 
学位論文の基礎となる参考論文 
Local enhanced site in surface enhanced infrared absorption with gold nano particle array by Rigorous coupled-wave analysis, 
Daichi Mitobe*, Yushi Suzuki, Toru Shimada, Journal of Physics Communications 4 (2020) 115009. 
Computer simulation of key structural parameters for enhanced infrared absorption with Au nano-array 
Daichi Mitobe*, Taku Ohshima amd Yushi Suzuki, Journal of Physics Communications 5 (2021) 115001. 
  Gold Nanoparticles and Their Applications in Engineering [Working Title], edited by Dr. Safaa Najah Saud Al-Humairi, chapter:  
RCWA simulation study of enhanced infrared absorption spectroscopy by Au nanoparticle Array combined with optical cavity 
effect, 
Daichi Mitobe* and Yushi Suzuki, DOI: 10.5772/intechopen.105851 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 


厳密結合波解析を用いた金ナノ粒子アレイによる赤外吸収増大機構の解明

汪, 継偉

- 1 - 
 
様式第２号（第５条，第１１条関係） 
「課程博士用」 
 
学 位 論 文 の 要 旨 
専    攻 安全システム工学  専攻 
ふりがな 
氏  名 
ワン ジウェイ 
Wang Jiwei(汪継偉) 
学位論文題目 
Research on key issues of health evaluation based on data-driven method for lithium-ion 
batteries（データ駆動法を用いた電池健全性評価に関する研究） 
学位論文要旨 
In recent years, to resolve the global energy crisis and environmental pollution problems, major economies 
and automobile manufacturers in the world have strengthened the research and development of electric vehicles. 
As one of the most important systems of electric vehicles, battery management system which ensures the 
accurate estimation of the key states of traction batteries is the key to formulate an efficient energy management 
strategy, to extend the cycle life of the battery pack, as well as to achieve the safe and reliable operation of the 
batteries. The aging process of lithium-ion batteries is a dynamic coupling process affected by various factors, 
such as temperature, current rate and so on. The internal aging mechanism is very complex and the 
electrochemical parameters such as the property of battery materials are not easy to be obtained, which greatly 
increases the difficulty of establishing the mechanism model. To improve the state of health (SOH) estimation 
accuracy for lithium-ion batteries, the following researches based on the data-driven methods have been carried 
out in this dissertation. 
1. Analysis and test of the aging characteristics of lithium-ion batteries. Given the influence of different 
environmental factors on battery aging, a battery aging test platform is built. A lithium-ion battery aging test 
procedure is designed, including aging tests at different ambient temperatures, different charging rates, and 
different depths of discharge. Based on the battery cycle aging test and the battery calendar aging test, 
statistical analysis and comparative research on the aging characteristics of lithium-ion batteries are carried 
out. Two empirical aging models are constructed to calculate the capacity loss of the battery. 
2. Estimation of the SOH of lithium-ion battery cells based on the improved Gaussian Process 
Regression (GPR) model. The single kernel function based on the GPR model is not accurate in estimating 
the SOH of lithium-ion battery so that it cannot accurately capture the phenomenon of overall capacity 
decay and local capacity recovery. Herein, a method for estimating the SOH of lithium-ion batteries based 
on the modified GPR combined with charging and discharging features is proposed. First, the changes in 
battery voltage and temperature curves among different aging cycles are analyzed in details, and health 
indicators (HIs) that can effectively represent the health status of the battery are proposed. Then, the 
Pearson correlation analysis method is used to quantify the correlation between the HIs and SOH, and three 
HIs with strong correlation are employed in this study. Next, a novel compound kernel function is proposed 
for the battery SOH estimation, and different pairs of mean function and kernel function chosen from four 
- 2 - 
 
mean functions and sixteen kernel functions are used to construct the GPR models, and their estimation 
accuracy is compared subsequently. Finally, four different batteries with various initial health conditions 
from the NASA battery dataset are used to verify the performance of the proposed method. Experiments 
show that its estimated mean-absolute-error (MAE) and root-mean-square-error (RMSE) are only 1.7%, 
and 2.41%, respectively. The results show that compared with a single kernel function, the GPR model 
based on a composite kernel function is more suitable for capturing the battery aging characteristics of 
various trends and can achieve accurate estimation of the battery SOH.  
3. Battery pack health estimation based on early data. For the estimation of the SOH of the battery pack, it 
takes a lot of time and economic cost to complete the full-life aging test of the battery pack. Aiming at the 
solving above problems, a method for predicting the future health of the battery pack is proposed, which 
involves the aging data of the battery cells over their entire life cycles and the early cycling data of the 
battery pack. Firstly, the HIs are extracted from the experimental data, and high correlations between the 
extracted HIs and the capacity are verified by the Pearson correlation analysis method. To predict the future 
health of the battery pack based on the HIs, degradation models of HIs are constructed by using an 
exponential function, long short-term memory network, and their weighted fusion. The future HIs of the 
battery pack are predicted according to the fusion degradation model. Then, based on the GPR algorithm 
and the battery pack data, a data-driven model is constructed to predict the health of the battery pack. 
Finally, the proposed method is validated by a series-connected battery pack with fifteen 100 Ah lithium 
iron phosphate battery cells. The MAE and RMSE of the health prediction of the battery pack are 7.17% 
and 7.81%, respectively, indicating that the proposed method has satisfactory accuracy. The results show 
that compared with the single feature decay model, the fusion feature decay model can predict the future 
HIs of battery pack with more accuracy, which contribute to the satisfactory prediction accuracy of battery 
pack health based on the GPR model.  
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
注）和文 2,000 字以内又は英文 800 語以内                 続紙 有□ 無■ 


Research on key issues of health evaluation based on data-driven method for lithium-ion batteries

弘前大学博士（医学）掲載誌：Journal of Human Genetics, 67(6):369-375, 202

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Association between mild cognitive impairment and lumbar degenerative disease in a Japanese community: A cross-sectional study

Effect of gait training using Hybrid Assistive Limb on gait ability and the risk for overwork weakness in the lower limb muscles in patients with neuromuscular disease: a proof-of-concept study

Glomerular endothelial expression of type I IFN-stimulated gene, DExD/H-Box Helicase 60 via Toll-like receptor 3 signaling: Possible involvement in the pathogenesis of lupus nephritis

一般地域住民における口臭の原因と精神心理的影響に関する研究

電気透析法によるリチウム資源回収技術

育児ネットワークの信頼関係に関する社会学的研究

Utilization of Waste Biomass Resources for Hydrogen-rich Syngas Production via Steam Co-gasification Process

厳密結合波解析を用いた金ナノ粒子アレイによる赤外吸収増大機構の解明

Research on key issues of health evaluation based on data-driven method for lithium-ion batteries

Association of mitochondrial DNA haplogroup and hearing impairment with aging in Japanese general population of the Iwaki Health Promotion Project

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