熱抵抗の小さな熱電発電デバイスを用いた廃熱発電

染矢　聡・見野　弘泰・小山　寿恵（東京電機大学）

ハイブリッド車両などエンジンを有する自動車の熱効率向上のため，熱電発電デバイスを用いて廃熱を電力に変換する．空調用冷媒等をクーラントに利用して低温側の温度をさげつつ，排ガスや高温の冷媒の流れを高温側にすることを想定している．熱を系内に閉じ込める前提の下で熱電発電デバイスにより多くの熱を通過させるため，熱抵抗の小さな熱電発電デバイスを作成し，発電性能を評価した．

人工ニューラルネットワークを用いたゼロ次元熱収支モデルのモデルパラメータ同定法

宮本　武司・高村　修平・窪山　達也・森吉　泰生（千葉大学）

本研究では，人工ニューラルネットワークを用いてゼロ次元エンジン熱収支モデルのモデル定数を同定する新しい手法を提案するとともに，量産の4気筒ガソリンエンジンのモデル構築適用し手法の有効性を実証している．

Investigation of Heat Transfer Characteristics of a Plate Heat Exchanger for the Thermal Management System of a Hydrogen Fuel Cell Heavy-Duty Truck Using the Wilson Plot Method

Kee Young Yang･Yong Hyeon Park (Hyundai Motor)･Jun Hyuk Kim (Samsung Electronics)･Ho Seong Lee (Korea University)

Plate heat exchangers (PHEs) are essential for thermal management in hydrogen-electric heavy trucks, yet their automotive integration remains limited. Convective heat transfer coefficients for both fluid channels were quantified using a modified Wilson plot method under representative operating conditions. Analysis revealed an asymmetry, with the hot-side coefficient relatively lower than the cool side, constraining thermal efficiency. To address this, a multi-objective genetic algorithm was applied to optimize geometric parameters of offset-strip fin plates, including fin height, spacing, and strip length. The resulting designs significantly enhanced hot-side performance, offering a systematic approach for high-efficiency PHE configurations in fuel-cell vehicles.

A Study on the Improving Radiator Performance Prediction Accuracy to meet Cooling Target

Sangkyu Lee (Hyundai Motor)･Junjung Park (MPSE)

In the conceptual design phase, there often exists a significant discrepancy between the predicted data provided by suppliers and the actual test data for radiators. This issue primarily arises from the limitations of CAE analysis tools, which fail to adequately reflect the specific characteristics of radiators. To address this problem, we have developed a theoretical model that predicts performance based on actual test. Additionally, we have created a user-friendly program that enhances the accuracy and reliability of performance predictions by utilizing a dedicated database.

Development of Control Logic for Preventing Cooling Fan Motor Damage

Taewan Kim (Hyundai Motor)

Heavy rain concentrated during the monsoon season in South Asia is causing damage to cooling fan motors. Operating in a submerged state results in increased load on the cooling fan motor, leading to internal damage due to overload and ultimately causing the motor to fail. This results in engine overheating, and low performance of A/C. To resolve this issue, I aim to reduce field claims by implementing a logic system that detects flooding and restricts operation accordingly.