Article
Chemistry, Physical
Jinpeng Tian, Cheng Chen, Weixiang Shen, Fengchun Sun, Rui Xiong
Summary: Accurate state of charge (SOC) is crucial for the reliable operations of lithium-ion batteries. Deep learning technique has recently emerged as a promising solution for accurate SOC estimation, especially in the era of battery big data. This article reviews the deep learning-based SOC estimation framework and the recent applications of deep learning in SOC estimation, focusing on the model structure. It also discusses advanced applications like transfer learning and the combination of deep learning with other methods. Finally, it examines the challenges and future opportunities in data collection, model development, and real-world applications in this area.
ENERGY STORAGE MATERIALS
(2023)
Article
Energy & Fuels
R. J. Copley, D. Cumming, Y. Wu, R. S. Dwyer-Joyce
Summary: This study evaluates the qualities contained within an ultrasound signal response by investigating the behavior of ultrasonic waves passing through the components of a layered battery structure, providing a new method for battery state monitoring. Data analysis has identified the data comparison combination with the strongest correlation to battery charge state, guiding decisions for future use of ultrasound battery monitoring. A smart peak selection method ensures optimized measurements of battery charge state regardless of the nature of the ultrasound response.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Thermodynamics
Shanshan Guo, Liang Ma
Summary: This study investigates the performance of four state-of-the-art deep learning algorithms in state-of-charge estimation, evaluating their accuracy, robustness, and efficiency using experimental data.
Article
Energy & Fuels
Zhongbao Wei, Jian Hu, Yang Li, Hongwen He, Weihan Li, Dirk Uwe Sauer
Summary: This paper proposes a hierarchical soft measurement framework for accurate estimation of SOC and load current in electric vehicles, even without using current measurements. Simulation and experimental results show that the framework can achieve high-fidelity co-estimation even in scenarios of noise corruption and current sensor malfunction.
Article
Energy & Fuels
Zhong Ren, Changqing Du, Zhongyi Wu, Jianbo Shao, Wenjun Deng
Summary: This paper investigates the effects of different current rates on OCV tests and their impact on SoC estimation algorithms. The results show that the OCV-SoC curve obtained from the 0.5C incremental OCV test performs best at 25 degrees C and 45 degrees C, while the 0.2C incremental OCV test performs best at 0 degrees C. Additionally, a 3-hour relaxation time is optimal at higher temperatures, while a 4-hour relaxation time is recommended at 0 degrees C.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2021)
Article
Electrochemistry
Jonghyeon Kim, Julia Kowal
Summary: This paper introduces a new method for monitoring the State of Charge (SoC) of a lithium-ion battery cell through continuous impedance measurement during cell operation. Unlike traditional ex situ impedance measurements, this method performs in situ cell state estimation considering cell temperature and State of Health (SoH), leading to accurate SoC estimation. The experimental setup and selection of measurement parameters are described, along with the accuracy of cell SoC estimation.
Article
Thermodynamics
Xiong Feng, Junxiong Chen, Zhongwei Zhang, Shuwen Miao, Qiao Zhu
Summary: This paper presents a novel neural network structure called CWRNN, which effectively addresses long-term dependencies, reduces training and computation costs, and is validated under different temperature conditions.
Article
Energy & Fuels
Elias Dias Rossi Lopes, Marlon Marques Soudre, Carlos Humberto Llanos, Helon Vicente Hultmann
Summary: An important component of electric vehicles is the Battery Management System (BMS), which is responsible for monitoring the state of charge (SoC) of the battery, a crucial factor in the vehicle's autonomy. This paper proposes the use of receding-horizon strategies, specifically Moving-Horizon State Estimation (MHSE) and Neural Network Moving-Horizon Estimation (NNMHE), for accurate SoC estimation. MHSE utilizes a constrained optimization problem with a larger observation window, while NNMHE employs a neural network to emulate the optimization solver, resulting in faster and approximate results. The effectiveness of this approach is validated with experimental data, achieving a coefficient of determination of almost 99% and a processing time reduction of about 20 times, making it suitable for embedded systems with limited computational resources.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Wooyong Kim, Kyunghwan Choi
Summary: This study presents an alternative method to estimate the state of charge of a battery system by using an unknown current estimator instead of relying on erroneous current measurements. The effectiveness of the proposed method is verified through experiments.
JOURNAL OF ENERGY STORAGE
(2022)
Article
Computer Science, Information Systems
Areeb Khalid, Syed Abdul Rahman Kashif, Noor Ul Ain, Ali Nasir
Summary: The capacity reduction and increase of internal resistance in batteries during storage and cycling are due to degradation in the chemical composition. To optimize battery usage, a battery management system (BMS) estimates aging effects and selects optimized load profiles. This paper focuses on designing an algorithm/model for LiFePO4 batteries based on accelerated aging test data. The objective is to develop an algorithm that tracks the battery trend throughout its life. The model is validated using different driving profiles and the nonlinear model is selected as the best candidate for longer validation.
CMC-COMPUTERS MATERIALS & CONTINUA
(2022)
Article
Energy & Fuels
Manh-Kien Tran, Manoj Mathew, Stefan Janhunen, Satyam Panchal, Kaamran Raahemifar, Roydon Fraser, Michael Fowler
Summary: The research found that state of health (SOH) has an impact on Thevenin ECM parameters, and it is recommended to use a new empirical model to represent this impact to improve parameter identification accuracy, with experimental validation yielding favorable results.
JOURNAL OF ENERGY STORAGE
(2021)
Review
Energy & Fuels
Nourallah Ghaeminezhad, Quan Ouyang, Jingwen Wei, Yali Xue, Zhisheng Wang
Summary: Energy storage is a critical issue in modern technology, and lithium-ion batteries have proven to be effective for energy storage. Monitoring the battery's state of charge is essential for optimizing its performance and lifespan. However, accurately estimating the state of charge is challenging due to the nonlinear behavior of batteries over their lifetime.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Chemistry, Physical
Jinpeng Tian, Rui Xiong, Jiahuan Lu, Cheng Chen, Weixiang Shen
Summary: Accurate estimation of state of charge (SOC) is vital for the reliable operations of lithium-ion batteries. This study proposes a solution that incorporates domain knowledge into deep learning-based SOC estimation, resulting in improved accuracy. By decoupling voltage and current sequences, and fusing SOC estimation results from deep neural networks (DNNs) with short-term Ampere-hour predictions, the proposed method achieves significant reduction in estimation errors.
ENERGY STORAGE MATERIALS
(2022)
Article
Energy & Fuels
Daniel J. Rogers, Louis J. M. Aslett, Matthias C. M. Troffaes
Summary: A statistical model is proposed to explore the behavior and lifetime performance of battery systems, considering the degradation of cells and the benefits of organizing cells into semi-independent modules. The cost model is introduced to analyze the trade-offs between degradation, module size, and cost benefits. Case studies reveal that breaking a battery energy storage system into smaller modules can increase system capacity and reduce costs.
Article
Chemistry, Physical
Kangpei Meng, Xiaoping Chen, Wen Zhang, Wesley Chang, Jun Xu
Summary: Recently, non-invasive ultrasonic-based detection has been proven to be an accurate and efficient tool for estimating the state-of-charge (SOC) and state-of-health (SOH) of lithium-ion batteries. However, the current non-invasive methods are highly sensitive to experimental setups and conditions, resulting in unpredictable and unstable results. A new approach using quantified change of ultrasonic damping has been discovered to correlate with the SOC of batteries, providing a more fundamental understanding of wave propagation.
JOURNAL OF POWER SOURCES
(2022)
Review
Chemistry, Physical
Elnaz Asghari, Muhammad Imran Abdullah, Faranak Foroughi, Jacob J. Lamb, Bruno G. Pollet
Summary: With increasing energy consumption and greenhouse gas emissions, developing renewable energy sources to replace fossil fuels has become crucial. Hydrogen production through water electrolysis powered by renewable energy systems is an essential measure to reduce emissions. However, challenges exist in seawater electrolysis, such as undesired chlorine gas reaction and corrosion, making the development of new electrocatalysts for seawater electrolysis urgent.
CURRENT OPINION IN ELECTROCHEMISTRY
(2022)
Article
Biochemistry & Molecular Biology
Pauline Zimmermann, Simon Birger Byremo Solberg, Onder Tekinalp, Jacob Joseph Lamb, Oivind Wilhelmsen, Liyuan Deng, Odne Stokke Burheim
Summary: This review explores the concept of Heat-to-Hydrogen with Reverse Electrodialysis Heat Engines (REDHEs) and discusses crucial developments towards industrialization. The review highlights the importance of membrane development and salt selection for system performance.
Article
Acoustics
Henrik E. Hansen, Frode Seland, Svein Sunde, Odne S. Burheim, Bruno G. Pollet
Summary: Optimizing the surface area of nanoparticles is crucial for the catalytic performance of electrochemical energy conversion devices. This study investigated the effect of different frequencies on the sonochemical synthesis of Pt nanoparticles and found that lower frequencies resulted in smaller agglomerates and higher electrochemical surface areas, while the primary particle size and catalytic activity remained constant across the entire frequency range.
ULTRASONICS SONOCHEMISTRY
(2022)
Article
Engineering, Environmental
Anders S. Nielsen, Brant A. Peppley, Odne S. Burheim
Summary: Fuel-assisted solid oxide electrolysis cells have the potential to generate power and valuable chemicals by supplying fuels to the cell's anode. A new mass and heat transport model has been developed to track the reaction pathways and enhance the performance of these cells. This study provides insights for designers to optimize the efficiency and product selectivity of fuel-assisted solid oxide electrolysis cells.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Electrochemistry
Silje Nornes Bryntesen, Armin Kahrom, Jacob Joseph Lamb, Ignat Tolstorebrov, Odne Stokke Burheim
Summary: This study aims to understand the influence of drying methods on the solvent evaporation rate and material quality in the large-scale production of NMC cathodes, comparing the conventional vacuum oven used in laboratories with the industrial convection drying method. By studying the drying kinetics and their impact on surface cracks and binder migration, it was found that different drying conditions lead to structural differences, highlighting the importance of implementing drying conditions that represent the industrial process in laboratories.
Article
Engineering, Electrical & Electronic
Trym Baerheim, Jacob J. Lamb, Jonas Kristiansen Noland, Odne S. Burheim
Summary: The purpose of this study is to explore the potential and limitations of first-generation electric aviation technology, and emphasize Norway's geographical advantages and unique regional network. Electric flight distances of up to 400 km could cover 77% of all flights within Norway. There is limited research on the suitability of battery-powered all-electric aviation in such scenarios, making Norway an ideal case study location. Key factors such as battery technologies, propulsion systems, aircraft designs, and flight profiles are investigated to evaluate the feasibility of specific routes in terms of power, energy, and battery size. A case study of different flight distances in Norway (77-392 km) and two aircraft types (one retrofitted with electric powertrain and one specifically designed for electric drivetrain) is presented. While the completely redesigned aircraft meets the power requirements of the routes, modest improvements in battery energy density would enable retrofitting of existing aircraft. The study concludes that operating small electric aircraft (with 9-39 passengers) on short-haul flights in Norway is feasible through new designs or retrofitting.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Review
Biochemistry & Molecular Biology
Onder Tekinalp, Pauline Zimmermann, Steven Holdcroft, Odne Stokke Burheim, Liyuan Deng
Summary: This work extensively reviews the application and research progress of monovalent cation exchange membranes (CEMs) in electrodialysis. It discusses the structure-property relationships of CEM materials, influences of process conditions and mass transport characteristics on metal cation selectivity, and proposes future research directions.
Article
Electrochemistry
Lena Spitthoff, Markus Solberg Wahl, Jacob Joseph Lamb, Paul Robert Shearing, Preben J. S. Vie, Odne Stokke Burheim
Summary: Understanding and mitigating battery degradation is crucial for financial and environmental reasons. This study examines how degradation affects heat sources in batteries, emphasizing the need for dynamic cooling strategies throughout battery life. The research focuses on reversible and non-reversible heat sources in a commercial lithium-ion battery, and investigates the impact of thermal management strategies on degradation and cooling efficiency. The findings indicate that entropic heating plays a significant role in heat generation, resulting in temperature variations and increased thickness as the battery degrades.
Article
Energy & Fuels
Anders S. Nielsen, Brant A. Peppley, Odne S. Burheim
Summary: Solid oxide co-electrolysis cells offer a promising route to convert carbon dioxide and steam into syngas utilizing renewable energy. However, challenges remain in understanding the reaction pathways that contribute to carbon monoxide production and carbon deposition in the cathode. This research develops a numerical model to track the reaction pathways and proposes operation strategies to mitigate carbon deposition.
Article
Chemistry, Physical
Lena Spitthoff, Markus Solberg Wahl, Preben J. S. Vie, Odne Stokke Burheim
Summary: In this study, thermal conductivities of pristine and degraded electrodes from commercial lithium-ion batteries were measured under different conditions. The effect of degradation on thermal transport was assessed, and the overall cell cooling efficiency was reported. The reduction in electrode thermal conductivity was found to be up to 65%, with the highest decrease observed in dry graphite anodes. Mechanical clamping and cold temperatures were found to mitigate the reduction in thermal conductivity, while decreased wetting and reduction of electrolyte solvent were identified as the main causes for decreased cell cooling efficiency and full cell thermal conductivity.
JOURNAL OF POWER SOURCES
(2023)
Article
Chemistry, Physical
Silje Nornes Bryntesen, Per Hakon Finne, Ann Mari Svensson, Paul R. R. Shearing, Nikolai Tolstik, Irina T. T. Sorokina, Jakob Vinje, Jacob Joseph Lamb, Odne Stokke Burheim
Summary: The cost and environmental impact of lithium-ion batteries (LIBs) can be reduced by using water as a solvent and bio-derived kraft lignin as a binder material to fabricate high-density, thick NMC111 cathode coatings. The performance deterioration at high discharge currents is amplified by high mass loading and low bulk porosity. Lithium-ion diffusion limitation at current densities higher than 0.2 C is mitigated by creating line structures on the cathode surface.
JOURNAL OF MATERIALS CHEMISTRY A
(2023)
Article
Materials Science, Multidisciplinary
Silje Nornes Bryntesen, Ignat Tolstorebrov, Ann Mari Svensson, Paul Shearing, Jacob Joseph Lamb, Odne Stokke Burheim
Summary: This study explores the possibility of using abundant, bio-derived kraft lignin as a binder to replace or partially replace commonly used PVDF and CMC binders in water-based processing of Ni-containing LiNixMn1-x-yCoyO2 cathodes. The results show that comparable specific capacities to NMP/PVDF-based cathodes can be achieved with lignin or CMC/lignin as binder materials. Kraft lignin undergoes a redox reaction with the electrolyte, but its binding abilities to carbon and its thermal stability make it a promising alternative binder material for aqueous processing of high capacity cathodes.
MATERIALS ADVANCES
(2023)
