Article
Energy & Fuels
Ilyes Miri, Abbas Fotouhi, Nathan Ewin
Summary: Accurate estimation of electric vehicle range is crucial to eliminate drivers' range anxiety, and a power-based energy consumption model is necessary for precise range estimation. This study focused on developing a model for EV energy consumption, using real EV data from BMW i3 and validating the model against environmental tests with satisfactory accuracy.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Energy & Fuels
Xiong Shu, Wenxian Yang, Kexiang Wei, Bo Qin, Ronghua Du, Bowen Yang, Akhil Garg
Summary: This study experimentally investigates the degradation of electric vehicle lithium-ion batteries (LIBs) at different temperatures and discharge rates, and proposes a new degradation model to more accurately predict the capacity degradation of EV LIBs. The research reveals that the available capacity of LIBs transiently increases with the increase of charge-discharge cycles during the initial stage of battery use. Temperature has a significant impact on the available capacity of LIBs, and alternating changes in ambient temperature can accelerate the degradation of LIBs. The proposed degradation model exhibits higher prediction accuracy compared to the traditional model.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Thermodynamics
Yuqian Fan, Xiangang Zuo, Di Zhan, Jifei Zhao, Guifeng Zhang, Huanyu Wang, Ke Wang, Shuting Yang, Xiaojun Tan
Summary: This paper presents a control strategy for the active battery thermal management system (ABTMS) using a dynamic multiobjective approach. The strategy balances the battery life, capacity consistency, and system energy consumption objectives using weight coefficients, and utilizes dynamic programming and a genetic algorithm to find the optimal control path. Experimental results show that the strategy effectively improves system performance by balancing the multiple objectives.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Yan Jiang, Xin Meng
Summary: This study proposes a battery capacity estimation method based on the battery equivalent circuit model and quantile regression. The joint Kalman filter is used to estimate the state of charge, and quantile regression is applied to fit the discharge data. The method is robust to poor data quality, reducing estimation errors.
Article
Thermodynamics
Renzheng Li, Jichao Hong, Huaqin Zhang, Xinbo Chen
Summary: This paper proposes a novel SOH estimation model based on Catboost and interval capacity during the charging process, which achieves the best accuracy compared with other machine learning methods through the analysis of a year-long operation dataset of an electric taxi.
Article
Geosciences, Multidisciplinary
Craig David MacDonald, Lina Kattan, David Layzell
Summary: This study used a queuing model to evaluate the charging needs and impacts of electric vehicles before mass evacuations, finding that the current charging network capacity is insufficient to meet the demand of all vehicles. Providing early evacuation notices, increasing the number of charging stations, and balancing the types of fast-charging facilities were effective ways to increase the number of EVs receiving adequate charging before departure.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Engineering, Electrical & Electronic
Zhiyue Yu, Chun Gan, Kai Ni, Yu Chen, Ronghai Qu
Summary: This article proposes a simplified dual-electric-port drive for a flux-modulated switched reluctance machine (SRM) with flexible charging capability for electric vehicle applications. The new drive design includes flux modulation control, pulsewidth modulation method, and harmonic current suppression strategy to improve machine performance. Additionally, flexible battery charging and power factor correction strategies have been developed, allowing for convenient charging of electric vehicles.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2021)
Review
Energy & Fuels
Ines Baccouche, Sabeur Jemmali, Bilal Manai, Alexandros Nikolian, Noshin Omar, Najoua Essoukri Ben Amara
Summary: This article presents an overview of electric battery models, focusing on NMC battery type, and compares the accuracy of first and second order models. Experimental results show better precision for the second order model, making it more suitable for embedded applications.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Energy & Fuels
Shuaishuai Lv, Xingxing Wang, Wenfan Lu, Jiaqiao Zhang, Hongjun Ni
Summary: This study investigates the impact of temperature on the capacity of lithium ion batteries with different anodes, finding the optimal operating temperature range to be 20-50 degrees Celsius. The research suggests that the discharge capacity of a lithium ion battery can be approximated by a cubic polynomial of temperature, and the internal resistance of the battery is largest at 0% and 100% state of charge.
Article
Thermodynamics
L. Vichard, A. Ravey, P. Venet, F. Harel, S. Pelissier, D. Hissel
Summary: Batteries are complex systems that are affected by variable ambient operating conditions, and understanding their dynamic behavior and degradation laws under actual conditions is essential for durability improvement. This study proposes a method to model batteries based on experimental data from postal vehicles, which shows promising results in estimating state of health indicators linked to internal resistance and available capacity. The proposed model aims to provide accurate state of charge estimation onboard and contribute to a better understanding of battery degradation laws.
Article
Energy & Fuels
Gurkan Soykan, Gulfem Er, Ethem Canakoglu
Summary: This study determines the optimal configuration of an isolated microgrid system with renewable sources and energy storage systems using a two-stage stochastic programming-based multi-objective optimization model. The effects of different electric vehicle roles and configurations, as well as charger size, on the sizing of the microgrid are simulated and analyzed.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Energy & Fuels
El Marghichi Mouncef, Bouzi Mostafa
Summary: This paper proposes a battery capacity estimation framework based on the sunflower optimization algorithm, which takes into account capacity error sources and uses a reduction strategy of the search space to enhance accuracy. Experimental results demonstrate that this approach has high accuracy and predictive performance.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Engineering, Multidisciplinary
V. Kethareswaran, Sanjay Moulik
Summary: A series of battery fires in India is damaging the country's ambitions to be a leader in electric vehicles, especially in the 2-wheeler sector. The Electric Vehicle (EV) industry and its customers are working to address the fallout, myths, and fake news surrounding these incidents. This paper thoroughly explores the reasons behind EV battery fires, including working conditions, component quality, temperature, and external factors, and specifically focuses on the Indian perspective by analyzing the fires that occurred in 2022, refuting misconceptions with valid arguments and factual evidence.
Review
Green & Sustainable Science & Technology
Nur Ayeesha Qisteena Muzir, Md Rayid Hasan Mojumder, Md Hasanuzzaman, Jeyraj Selvaraj
Summary: The article thoroughly reviews the challenges of promoting electric vehicles in Malaysia and proposes potential solutions and suggestions. This review can serve as a valuable reference for policymakers in formulating strategic policies to achieve sustainable electric vehicle transportation goals.
Article
Engineering, Electrical & Electronic
Mouncef El Marghichi
Summary: Accurate knowledge of capacity is essential for battery management systems to predict future failures. This study focuses on estimating battery capacity using the EASOM algorithm, which minimizes uncertainties in state of charge estimation and measurements. EASOM demonstrated excellent performance, with a maximum error of 1.25% and predictive performance metrics within 1% in all tests.
ELECTRICAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Biranchi Panda, K. Shankhwar, Akhil Garg, M. M. Savalani
JOURNAL OF INTELLIGENT MANUFACTURING
(2019)
Article
Computer Science, Interdisciplinary Applications
V. Vijayaraghavan, Li Shui, Akhil Garg, Xiongbin Peng, Vikas Pratap Singh
ENGINEERING WITH COMPUTERS
(2019)
Article
Green & Sustainable Science & Technology
Akhil Garg, Liang Gao, Wei Li, Surinder Singh, Xiongbin Peng, Xujian Cui, Z. Fan, Harpreet Singh, C. M. M. Chin
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Energy & Fuels
Yihui Zhang, Siqi Chen, Me Shahin, Xiaodong Niu, Liang Gao, C. M. M. Chin, Nengsheng Bao, Chin-Tsan Wang, Akhil Garg, Ankit Goyal
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2020)
Article
Energy & Fuels
Wei Jie Tan, Christina Mei Mei Chin, Akhil Garg, Liang Gao
Summary: In order to improve the efficiency of disassembling EV batteries, a framework has been proposed which focuses on optimizing parameters such as design, safety, and cost to reduce overall steps. The framework includes a hybrid disassembly workstation utilizing modified robotic arms and specialized tools to significantly decrease disassembly time.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Saleh Shadman, Marlia Mohd Hanafiah, Christina May May Chin, Eng Hwa Yap, Novita Sakundarini
Summary: This study aims to provide established knowledge of the multi-dimensional concept of energy security through engaging stakeholders and experts. Energy security policy implications have been suggested to address and mitigate energy security challenges. The thematic results discussed in this study have the potential to facilitate policymakers and energy analysts of countries with similar energy outlooks to design data-driven energy security policies.
Article
Environmental Sciences
Saleh Shadman, Christina M. M. Chin, Novita Sakundarini, Eng Hwa Yap, Shadreen Fairuz, Xin Yi Wong, Phahmee Ahanaf Khalid, Fatemeh Karimi, Ceren Karaman, M. Mofijur, Apurav Krishna Koyande, Pau Loke Show
Summary: The study reveals that Malaysia's renewable energy penetration rate is below the 2025 target, but environmental sustainability is enhanced, reducing reliance on energy imports and meeting national economic growth demands.
ENVIRONMENTAL RESEARCH
(2022)
Article
Computer Science, Information Systems
Dhipan Raj Sundram, Kai Ling Lew, Christina Chin May May
Summary: This paper proposes a decision support model (DSM) for project managers (PM) in multinational companies, which helps them select the right option to mitigate scope variability during critical junctures. The proposed DSM leverages existing DSM and methodologies, leading to an application in a decision support system (DSS) using progressive web applications. Interviews with experienced PMs were conducted to collect feedback and input, and performance indicators were developed to verify their applicability. The developed model contributes to the engineering research industry by efficiently providing a solution-seeking guideline to mitigate common challenges faced by PMs.
INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Thiagaletchumi Maniam, Christina May May Chin, Novita Sakundarini
Summary: The study provides a conceptual review of the implementation of P2P energy trading pilot project in Malaysia and analyzes the key benefits of P2P energy trading implementation to existing power systems. The perspectives and insights of relevant experts were collected through a focus group discussion.
2022 INTERNATIONAL CONFERENCE ON GREEN ENERGY, COMPUTING AND SUSTAINABLE TECHNOLOGY (GECOST)
(2022)
Article
Engineering, Multidisciplinary
Gimash Kavishka Dias, Novita Sakundarini, Christina Chin May May
Summary: The study found that surface treatments such as sandblasting and chemical etching are crucial steps in multi-material adhesive joining, improving surface roughness and adhesion. Tensile tests revealed that mild steel, aluminum, and PVC materials are the optimal choices for multi-material adhesive joining.
INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING
(2021)
Article
Energy & Fuels
Adriel Chi Tak Li, Wei Li, Christina M. M. Chin, Akhil Garg, Liang Gao
Summary: The reliability and performance of lithium-ion battery in electric vehicles are greatly affected by temperature, yet a systematic thermal strategy is lacking due to poor understanding of battery behavior. Integration of FEM with PSO for phase change material cooling system optimization prevents premature aging. Results show significant impact of cell numbers and columns on heat transfer effectiveness.
Article
Energy & Fuels
Xujian Cui, Shi Khai Kam, Christina May May Chin, Jihong Chen, Chitti Babu, Xiongbin Peng
Article
Energy & Fuels
Xujian Cui, Biranchi Panda, Christina May May Chin, Novita Sakundarini, Chin-Tsan Wang, Kapil Pareek
Proceedings Paper
Green & Sustainable Science & Technology
C. Ruhatiya, Himanshu Tibrewala, Liang Gao, Suwin Sleesongsom, C. M. M. Chin
INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY AND GREEN TECHNOLOGY 2019
(2020)
Article
Engineering, Multidisciplinary
See Junn Wayne, Novita Sakundarini, Christina Chin May May, Raja Ariffin Raja Ghazilla, Sharifah Nadya Syed Azmi
INTERNATIONAL JOURNAL OF INTEGRATED ENGINEERING
(2020)
Article
Engineering, Multidisciplinary
Sicheng Jiao, Shixiang Wang, Minge Gao, Min Xu
Summary: This paper presents a non-contact method of thickness measurement for thin-walled rotary shell parts based on a chromatic confocal sensor. The method involves using a flip method to obtain surface profiles from both sides of the workpiece, measuring the decentration and tilt errors of the workpiece using a centering system, establishing a unified reference coordinate system, reconstructing the external and internal surface profiles, and calculating the thickness. Experimental results show that the method can accurately measure the thickness of a sapphire spherical shell workpiece and is consistent with measurements of other materials.
Article
Engineering, Multidisciplinary
Rajeev Kumar, Sajal Agarwal, Sarika Pal, Alka Verma, Yogendra Kumar Prajapati
Summary: This study evaluated the performance of a CaF2-Ag-MXene-based surface plasmon resonance (SPR) sensor at different wavelengths. The results showed that the sensor achieved the maximum sensitivity at a wavelength of 532 nm, and higher sensitivities were obtained at shorter wavelengths at the expense of detection accuracy.
Article
Engineering, Multidisciplinary
Attilio Di Nisio, Gregorio Andria, Francesco Adamo, Daniel Lotano, Filippo Attivissimo
Summary: Capacitive sensing is a widely used technique for a variety of applications, including avionics. However, current industry standard Capacitive Level Sensors (CLSs) used in helicopters perform poorly in terms of sensitivity and dynamic characteristics. In this study, novel geometries were explored and three prototypes were built and tested. Experimental validation showed that the new design featuring a helicoidal slit along the external electrode of the cylindrical probe improved sensitivity, response time, and linearity.
Article
Engineering, Multidisciplinary
Kai Yang, Huiqin Wang, Ke Wang, Fengchen Chen
Summary: This paper proposes an effective measurement method for dynamic compaction construction based on time series model, which enables real-time monitoring and measurement of anomalies and important construction parameters through simulating motion state transformation and running time estimation.
Article
Engineering, Multidisciplinary
Hui Fu, Qinghua Song, Jixiang Gong, Liping Jiang, Zhanqiang Liu, Qiang Luan, Hongsheng Wang
Summary: An automatic detection and pixel-level quantification model based on joint Mask R-CNN and TransUNet is developed to accurately evaluate microcrack damage on the grinding surfaces of engineering ceramics. The model is effectively trained on actual micrograph image dataset using a joint training strategy. The proposed model achieves reliable automatic detection and fine segmentation of microcracks, and a skeleton-based quantification model is also proposed to provide comprehensive and precise measurements of microcrack size.
Review
Engineering, Multidisciplinary
Sang Yeob Kim, Da Yun Kwon, Arum Jang, Young K. Ju, Jong-Sub Lee, Seungkwan Hong
Summary: This paper reviews the categorization and applications of UAV sensors in forensic engineering, with a focus on geotechnical, structural, and water infrastructure fields. It discusses the advantages and disadvantages of sensors with different wavelengths and addresses the challenges of current UAV technology and recommendations for further research in forensic engineering.
Article
Engineering, Multidisciplinary
Anton Nunez-Seoane, Joaquin Martinez-Sanchez, Erik Rua, Pedro Arias
Summary: This article compares the use of Mobile Laser Scanners (MLS) and Aerial Laser Scanners (ALS) for digitizing the road environment and detecting road slopes. The study found that ALS data and its corresponding algorithm achieved better detection and delimitation results compared to MLS. Measuring the road from a terrestrial perspective negatively impacted the detection process, while an aerial perspective allowed for scanning of the entire slope structure.
Article
Engineering, Multidisciplinary
Nur Luqman Saleh, Aduwati Sali, Raja Syamsul Azmir Raja Abdullah, Sharifah M. Syed Ahmad, Jiun Terng Liew, Fazirulhisyam Hashim, Fairuz Abdullah, Nur Emileen Abdul Rashid
Summary: This study introduces an enhanced signal processing scheme for detecting mouth-click signals used by blind individuals. By utilizing additional band-pass filtering and other steps, the detection accuracy is improved. Experimental results using artificial signal data showed a 100% success rate in detecting obstacles. The emerging concepts in this research are expected to benefit radar and sonar system applications.
Article
Engineering, Multidisciplinary
Jiqiang Tang, Shengjie Qiu, Lu Zhang, Jinji Sun, Xinxiu Zhou
Summary: This paper studies the magnetic noise level of a compact high-performance magnetically shielded room (MSR) under different operational conditions and establishes a quantitative model for magnetic noise calculation. Verification experiments show the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Krzysztof Bartnik, Marcin Koba, Mateusz Smietana
Summary: The demand for miniaturized sensors in the biomedical industry is increasing, and optical fiber sensors (OFSs) are gaining popularity due to their small size, flexibility, and biocompatibility. This study reviews various OFS designs tested in vivo and identifies future perspectives and challenges for OFS technology development from a user perspective.
Article
Engineering, Multidisciplinary
Yue Wang, Lei Zhou, Zihao Li, Jun Wang, Xuangou Wu, Xiangjun Wang, Lei Hu
Summary: This paper presents a 3-D reconstruction method for dynamic stereo vision of metal surface based on line structured light, overcoming the limitation of the measurement range of static stereo vision. The proposed method uses joint calibration and global optimization to accurately reconstruct the 3-D coordinates of the line structured light fringe, improving the reconstruction accuracy.
Article
Engineering, Multidisciplinary
Jaafar Alsalaet
Summary: Order tracking analysis is an effective tool for machinery fault diagnosis and operational modal analysis. This study presents a new formulation for the data equation of the second-generation Vold-Kalman filter, using separated cosine and sine kernels to minimize error and provide smoother envelopes. The proposed method achieves high accuracy even with small weighting factors.
Article
Engineering, Multidisciplinary
Tonglei Cao, Kechen Song, Likun Xu, Hu Feng, Yunhui Yan, Jingbo Guo
Summary: This study constructs a high-resolution dataset for surface defects in ceramic tiles and addresses the scale and quantity differences in defect distribution. An improved approach is proposed by introducing a content-aware feature recombination method and a dynamic attention mechanism. Experimental results demonstrate the superior accuracy and efficiency of the proposed method.
Article
Engineering, Multidisciplinary
Qinghong Fu, Yunxi Lou, Jianghui Deng, Xin Qiu, Xianhua Chen
Summary: Measurement and quantitative characterization of aging-induced gradient properties is crucial for accurate analysis and design of asphalt pavement. This research proposes the composite specimen method to obtain asphalt binders at different depths within the mixture and uses dynamic shear rheometer tests to measure aging-induced gradient properties and reveal internal mechanisms. G* master curves are constructed to investigate gradient aging effects in a wide range. The study finds that the composite specimen method can effectively restore the boundary conditions and that it is feasible to study gradient aging characteristics within the asphalt mixture. The study also observes variations in G* and delta values and the depth range of gradient aging effects for different aging levels.
Article
Engineering, Multidisciplinary
Min Li, Kai Wei, Tianhe Xu, Yali Shi, Dixing Wang
Summary: Due to the limitations of ground monitoring stations in China for the BDS, the accuracy of BDS Medium Earth Orbit (MEO) satellite orbits can be influenced. To overcome this, low Earth orbit (LEO) satellites can be used as additional monitoring stations. In this study, data from two LEO satellites were collected to improve the precise orbit determination of the BDS. By comparing the results with GPS and BDS-2/3 solutions, it was found that including the LEO satellites significantly improved the accuracy of GPS and BDS-2/3 orbits.