Junyu Ge¹, Yifan Wang¹, Hong Li^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.4, pp. 1-3, 2025, DOI:10.32604/icces.2025.011446

Abstract The advancement of untethered and adaptive robotic systems necessitates the development of compact, efficient, and silent pneumatic power sources [1,2]. Traditional pneumatic actuation relies on bulky compressors or external gas reservoirs, limiting their practical applications in mobile and autonomous systems [3,4]. This work presents a novel electrochemical pneumatic battery (EPB) that exploits electrochemical driven gas generation to achieve controlled and energy-efficient pneumatic actuation, offering a viable alternative to conventional air supply methods. The EPB operates through an electrochemical redox mechanism based on a zinc-oxygen battery [5–7], enabling reversible gas storage and controlled pressure modulation. This… More >

Federico Sacchelli¹, Luca Cattani^1,2, Matteo Malavasi¹, Fabio Bozzoli^1,2,*, Corrado Sciancalepore¹

Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1351-1364, 2025, DOI:10.32604/fhmt.2025.064154 - 31 October 2025

Abstract This study investigates the feasibility of a novel dual two-phase cooling system for thermal management in lithium-ion batteries used in electric vehicles (EVs). The proposed system aims to combine low-boiling dielectric fluid immersion cooling and pulsating heat pipes (PHPs), in order to leverage the advantages of both technologies for efficient heat dissipation in a completely passive configuration. Experimental evaluations conducted under different discharge conditions demonstrate that the system effectively maintains battery temperatures within the optimal range of 20–40°C, with enhanced temperature uniformity and stability. While the PHP exhibited minimal impact at low power, its role More >

Zhuoyuan Zheng^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.2, pp. 1-1, 2025, DOI:10.32604/icces.2025.010939

Abstract Silicon (Si) anodes are promising candidates for lithium-ion batteries due to their high theoretical capacity and low operating voltage. However, the significant volume expansion that occurs during lithiation presents challenges, including material degradation and decreased cycle life. This study employs an electrochemical-mechanical-thermal coupled finite element model, supported by experimental validation, to investigate the impact of lithiation-induced deformation on the energy dissipation of Si anodes. We quantitatively investigate the effects of several key design parameters—C-rate, Si layer thickness, and lithiation depth—on energy losses resulting from various mechanisms, such as mechanical energy loss, polarization, and joule heating.… More >

Ningbo Li, Peng Wang^*, Ruolan Jiang, Bing Dong, Haobo Cao, Dongxu Han, Yujie Chen, Dongliang Sun

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.011558

Abstract Lithium-ion batteries, with their advantages of high energy density, no memory effect, and long cycle life, are widely used in new energy vehicles and emerging energy storage applications. Among these processes, electrode coating is one of the crucial manufacturing techniques for lithium-ion battery electrodes, with slot-die coating being widely adopted in practical engineering applications due to its advantages of high coating speed, wide coating width, and high precision, though the uniformity of coating slurry is affected by multiple factors and remains a focal point of research for both engineers and academic researchers. Currently, our team… More >

He Huang, Jin Zhu^*

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 1717-1748, 2025, DOI:10.32604/cmes.2025.068384 - 31 August 2025

Abstract Automated guided vehicles (AGVs) are key equipment in automated container terminals (ACTs), and their operational efficiency can be impacted by conflicts and battery swapping. Additionally, AGVs have bidirectional transportation capabilities, allowing them to move in the opposite direction without turning around, which helps reduce transportation time. This paper aims at the problem of AGV scheduling and bidirectional conflict-free routing with battery swapping in automated terminals. A bi-level mixed integer programming (MIP) model is proposed, taking into account task assignment, bidirectional conflict-free routing, and battery swapping. The upper model focuses on container task assignment and AGV… More >

Chuan Yuan¹, Chang Liu^2,3, Shijun Chen¹, Weiting Xu^2,3, Jing Gou¹, Ke Xu^2,3, Zhengbo Li^4,*, Youbo Liu⁴

Energy Engineering, Vol.122, No.9, pp. 3573-3593, 2025, DOI:10.32604/ee.2025.067785 - 26 August 2025

Abstract The increasing penetration of second-life battery energy storage systems (SLBESS) in power grids presents substantial challenges to system operation and control due to the heterogeneous characteristics and uncertain degradation patterns of repurposed batteries. This paper presents a novel model-free adaptive voltage control-embedded dung beetle-inspired heuristic optimization algorithm for optimal SLBESS capacity configuration and power dispatch. To simultaneously address the computational complexity and ensure system stability, this paper develops a comprehensive bilevel optimization framework. At the upper level, a dung beetle optimization algorithm determines the optimal SLBESS capacity configuration by minimizing total lifecycle costs while incorporating… More >

Tianjiao Zhang^*, Yibo Xu, Long Li, Kequn Li, Hua Zhang

Frontiers in Heat and Mass Transfer, Vol.23, No.3, pp. 819-832, 2025, DOI:10.32604/fhmt.2025.064287 - 30 June 2025

Abstract Power batteries serve as key components of new energy vehicles and are distinguished by their large capacity, long lifespan, high energy density, and stable operation. The strict temperature demands of power battery packs necessitate the development of highly efficient thermal management systems. In this study, a converging-diverging liquid cooling channel featuring a wave shaped structure was designed and analyzed for 18,650-type lithium-ion batteries. To investigate the design methodology for flow channel structure, a thermal model for the heat generation rate of the 18,650-type battery was developed. A comparative analysis of four geometrical configurations of converging-diverging… More >

Yuheng Yin, Lin Wang^*

Energy Engineering, Vol.122, No.7, pp. 2845-2864, 2025, DOI:10.32604/ee.2025.065889 - 27 June 2025

Abstract The accurate estimation of lithium battery state of health (SOH) plays an important role in the health management of battery systems. In order to improve the prediction accuracy of SOH, this paper proposes a stochastic configuration network based on a multi-converged black-winged kite search algorithm, called SBKA-CLSCN. Firstly, the indirect health index (HI) of the battery is extracted by combining it with Person correlation coefficients in the battery charging and discharging cycle point data. Secondly, to address the problem that the black-winged kite optimization algorithm (BKA) falls into the local optimum problem and improve the… More >

Ricky Alfian Dita¹, Sudirman Palaloi^2,*, Rezi Delfianti¹, Catur Harsito³, Muhammad Nevandra Fithra Pangestu¹, Deo Ferdi Ramadhan¹, Tovva Firdansyah Amijaya¹, Farhan Mudzaffar¹, Dimas Raka Buana Putra¹

Energy Engineering, Vol.122, No.6, pp. 2355-2370, 2025, DOI:10.32604/ee.2025.064134 - 29 May 2025

Abstract Efficient battery charging requires a power conversion system capable of providing precise voltage regulation tailored to the battery’s needs. This study develops a buck converter with a 36 V input for charging a 14 V battery using the Constant Voltage (CV) method. The system is designed to ensure safe and efficient charging while protecting the battery from overcharging and extending its lifespan. In the proposed design, the converter maintains a constant output voltage while the charging current decreases as the battery approaches full capacity. Pulse Width Modulation (PWM) is used as a control strategy to… More >

Zeyang Zhou^1,*, Zachary James Ryan¹, Utkarsh Sharma², Tran Tien Anh³, Shashi Mehrotra⁴, Angelo Greco⁵, Jason West⁶, Mukesh Prasad^1,*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 4795-4813, 2025, DOI:10.32604/cmc.2025.060291 - 19 May 2025

Abstract Accurate capacity and State of Charge (SOC) estimation are crucial for ensuring the safety and longevity of lithium-ion batteries in electric vehicles. This study examines ten machine learning architectures, Including Deep Belief Network (DBN), Bidirectional Recurrent Neural Network (BiDirRNN), Gated Recurrent Unit (GRU), and others using the NASA B0005 dataset of 591,458 instances. Results indicate that DBN excels in capacity estimation, achieving orders-of-magnitude lower error values and explaining over 99.97% of the predicted variable’s variance. When computational efficiency is paramount, the Deep Neural Network (DNN) offers a strong alternative, delivering near-competitive accuracy with significantly reduced… More >