Article
Chemistry, Physical
Paul Choi, Bharathy Parimalam, Yubai Li, Shawn Litster
Summary: This study uses high-resolution in-situ/operando Zernike phase contrast X-ray microscopy to directly observe the lithium electrodeposition process and characterizes it using TXM and CT imaging techniques. The results reveal the nucleation and deposition mechanisms of lithium and provide comprehensive morphology of the resulting structure. The study emphasizes the importance of in-situ/operando characterization of commercially-relevant configurations in developing practical dendrite mitigation strategies.
JOURNAL OF POWER SOURCES
(2023)
Review
Materials Science, Multidisciplinary
Feipeng Yang, Xuefei Feng, Y. -Sheng Liu, Li Cheng Kao, P. -A. Glans, Wanli Yang, Jinghua Guo
Summary: Researchers are aiming to develop alternative battery systems with low cost and high material abundance beyond lithium-ion batteries, emphasizing the importance of understanding the chemical and electronic structure of materials. Soft X-ray spectroscopy, as an element-specific technique, can be applied to study electronic and structural changes in electrode and electrolyte species through operando experiments, serving as a powerful tool for the development of beyond lithium-ion batteries.
ENERGY & ENVIRONMENTAL MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
Shahabeddin Dayani, Henning Markoetter, Jonas von Krug von Nidda, Anita Schmidt, Giovanni Bruno
Summary: This paper investigates the overdischarge phenomenon in lithium-ion cells, focusing on the behavior of copper dissolution and deposition. The concentration of dissolved and deposited copper is quantified using nondestructive imaging, revealing a nonuniform distribution pattern for copper deposition on the cathode. The research provides insights for safer battery cell design.
ADVANCED MATERIALS TECHNOLOGIES
(2023)
Article
Chemistry, Physical
Fu Sun, Chao Wang, Markus Osenberg, Kang Dong, Shu Zhang, Chao Yang, Yantao Wang, Andre Hilger, Jianjun Zhang, Shanmu Dong, Henning Markoetter, Ingo Manke, Guanglei Cui
Summary: This study decouples the electro-chemo-mechanical coupling in ASSBs using various techniques, revealing unexpected mechanical deformation of the solid electrolyte and electrode, as well as an evolving behavior of the interphase. Additionally, the study links the interphase/electrode properties to overall battery performance and provides detailed distribution information of mechanical stress/strain and potential/ionic flux within the electrolyte. These findings significantly improve the understanding of the complex electro-chemo-mechanical couplings in ASSBs.
ADVANCED ENERGY MATERIALS
(2022)
Article
Chemistry, Physical
Jinkun Wang, Yun Gao, Jianhong Liu, Hongying Liao, Li Wang, Xiangming He
Summary: This study investigates the phase evolution and Li+ diffusion kinetics in lithium-ion batteries through operando X-ray diffraction. By analyzing the behavior and structural changes of NCM811/Graphite cells at different C-rates, practical suggestions for real-time monitoring and identification of electrode state, materials and electrode structural design, and optimization of charging/discharging protocols are proposed.
Article
Multidisciplinary Sciences
Alice J. Merryweather, Christoph Schnedermann, Quentin Jacquet, Clare P. Grey, Akshay Rao
Summary: The key to advancing lithium-ion battery technology, especially fast charging, lies in understanding dynamic processes in functioning materials under realistic conditions in real time. A laboratory-based optical interferometric scattering microscope was introduced to study nanoscopic lithium-ion dynamics in battery materials, allowing for high-throughput material screening. This methodology was applied to study various processes in battery materials, providing insights into battery degradation mechanisms.
Review
Chemistry, Multidisciplinary
Marm B. Dixit, Jun-Sang Park, Peter Kenesei, Jonathan Almer, Kelsey B. Hatzell
Summary: This paper highlights the importance of solid-state batteries in achieving electrification of the transportation sector, while also discussing challenges such as electro-chemo-mechanical degradation affecting performance metrics. Characterizing and understanding the solid|solid interfaces in solid-state batteries is crucial for designing high energy density, durable solid-state batteries.
ENERGY & ENVIRONMENTAL SCIENCE
(2021)
Article
Chemistry, Physical
Paul Choi, Bharathy S. Parimalam, Laisuo Su, B. Reeja-Jayan, Shawn Litster
Summary: By combining 2D operando transmission X-ray radiograph sequences with 3D in situ X-ray computed tomography, this study characterized the behavior of a composite silicon anode during cycling in lithium-ion batteries. The X-ray signal attenuation over Si particles decreased with increased lithiation at low cycling rates, whereas increased attenuation was observed at electrode scale during high cycling rates. The simultaneous imaging of a large number of particles in close proximity was a useful feature of this operando imaging technique.
ACS APPLIED ENERGY MATERIALS
(2021)
Review
Chemistry, Multidisciplinary
Yongfu Tang, Liqiang Zhang, Jingzhao Chen, Haiming Sun, Tingting Yang, Qiunan Liu, Qiao Huang, Ting Zhu, Jianyu Huang
Summary: This review discusses the current status of solid state lithium metal batteries and the challenges they face, summarizing issues related to lithium dendrite penetration through SSEs, detrimental interfacial reactions, and proposing possible mitigation strategies.
ENERGY & ENVIRONMENTAL SCIENCE
(2021)
Article
Chemistry, Multidisciplinary
Ashley P. P. Black, Andrea Sorrentino, Francois Fauth, Ibraheem Yousef, Laura Simonelli, Carlos Frontera, Alexandre Ponrouch, Dino Tonti, M. Rosa Palacin
Summary: Synchrotron radiation based techniques are powerful tools for battery research, providing insight into length scales, depth sensitivities, and spatial/temporal resolutions. Operando experiments enable characterization during battery operation and help elucidate reaction mechanisms. This article discusses the state of the art for relevant techniques (scattering, spectroscopy, and imaging) and addresses bottlenecks specific to battery applications, including cell design improvement, multi-modal characterization, and automated data analysis protocols. Accelerated progress is expected in these areas, fostering advancements in battery performance.
Article
Chemistry, Physical
Alice J. Merryweather, Quentin Jacquet, Steffen P. Emge, Christoph Schnedermann, Akshay Rao, Clare P. Grey
Summary: Understanding the ion intercalation and degradation mechanisms is crucial for developing high-rate battery electrodes. Operando optical scattering microscopy is used to study single-particle kinetic state-of-charge heterogeneities and cracking in high-rate Li-ion anode materials. This study demonstrates the power of optical scattering microscopy in tracking rapid non-equilibrium processes that would be inaccessible with established characterization techniques.
Article
Chemistry, Physical
Yuta Kimura, Su Huang, Takashi Nakamura, Nozomu Ishiguro, Oki Sekizawa, Kiyofumi Nitta, Tomoya Uruga, Tomonari Takeuchi, Toyoki Okumura, Mizuki Tada, Yoshiharu Uchimoto, Koji Amezawa
Summary: A method combining operando computed tomography and X-ray absorption near-edge structure spectroscopy (CT-XANES) is proposed in this paper to directly track the evolution of the 3D distribution of local capacity loss in battery electrodes. The method enables a five-dimensional analysis of degradation, including spatial coordinates, time, and chemical state. It quantifies the spatiotemporal dynamics of local capacity degradation and correlates it with overall electrode performance, providing critical insights for identifying degradation factors and developing batteries with long-term stability.
Article
Nanoscience & Nanotechnology
Anna T. S. Freiberg, Simon Qian, Johannes Wandt, Hubert A. Gasteiger, Ethan J. Crumlin
Summary: A new operando spectro-electrochemical setup was developed to study oxygen depletion from the surface of layered transition metal oxide particles at high degrees of delithiation. By analyzing the O 1s spectra of the particles and comparing it to the Ni 2p3/2 intensity, the metal-to-oxygen ratio of the metal oxide close to the particle surface can be calculated, providing insight into the formation of an oxygen-depleted phase. This new setup enables a deeper understanding of interfacial changes of layered oxide-based cathode active materials for Li-ion batteries upon cycling.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Gerald Gourdin, Vicky Doan-Nguyen
Summary: Correlating material characterization information with battery performance is crucial for the development of advanced batteries. In situ/operando characterization and specially designed cells are effective in achieving this goal, but additional analytical techniques are needed to gain a comprehensive understanding. There is an opportunity to enhance the usefulness of these devices by incorporating near-simultaneous, multimodal capabilities to advance the development of electrochemical energy storage materials.
CELL REPORTS PHYSICAL SCIENCE
(2021)
Article
Chemistry, Physical
R. Chaaya, S. Gaboreau, F. Milet, N. Maubec, J. Tremosa, H. Raimbourg, E. Ferrage
Summary: In this study, a miniaturized oedometer was developed to study the swelling capacity of smectite during hydration. The results showed that the rise in swelling pressure was correlated to changes in water layer types and the rate of hydration was controlled by cation valency. The interlayer porosity represented the total porosity at saturation.
APPLIED CLAY SCIENCE
(2023)
Article
Energy & Fuels
Zhongxiao Liu, Zhe Li, Jianbo Zhang, Laisuo Su, Hao Ge
Article
Engineering, Manufacturing
Edgar Mendoza Jimenez, Daming Ding, Laisuo Su, Aparna R. Joshi, Aarti Singh, B. Reeja-Jayan, Jack Beuth
ADDITIVE MANUFACTURING
(2019)
Article
Materials Science, Multidisciplinary
Laisuo Su, Shikhar Krishn Jha, Xin Li Phuah, Jiang Xu, Nathan Nakamura, Haiyan Wang, John S. Okasinski, B. Reeja-Jayan
JOURNAL OF MATERIALS SCIENCE
(2020)
Article
Nanoscience & Nanotechnology
Laisuo Su, Jamie L. Weaver, Mitchell Groenenboom, Nathan Nakamura, Eric Rus, Priyanka Anand, Shikhar Krishn Jha, John S. Okasinski, Joseph A. Dura, B. Reeja-Jayan
Summary: Tailoring electrode-electrolyte interfaces (EEIs) using nanoscale polymer thin films deposited via chemical vapor deposition (CVD) can enhance the rate of Li+ transport and improve the charging speed of LiCoO2 in lithium-ion batteries (LIBs). PEDOT coatings form chemical bonds with LiCoO2, reducing Co dissolution and inhibiting electrolyte decomposition, leading to a significant increase in the cycle life of LiCoO2.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Chemistry, Physical
Paul Choi, Bharathy S. Parimalam, Laisuo Su, B. Reeja-Jayan, Shawn Litster
Summary: By combining 2D operando transmission X-ray radiograph sequences with 3D in situ X-ray computed tomography, this study characterized the behavior of a composite silicon anode during cycling in lithium-ion batteries. The X-ray signal attenuation over Si particles decreased with increased lithiation at low cycling rates, whereas increased attenuation was observed at electrode scale during high cycling rates. The simultaneous imaging of a large number of particles in close proximity was a useful feature of this operando imaging technique.
ACS APPLIED ENERGY MATERIALS
(2021)
Article
Chemistry, Multidisciplinary
Laisuo Su, Harry Charalambous, Zehao Cui, Arumugam Manthiram
Summary: Advanced electrolytes can improve the electrochemical performance of anode-free lithium-metal batteries by forming denser and better-packed lithium morphologies, enabling uniform lithium plating over the electrode area and reducing capacity fade. However, the mechanisms by which electrolytes improve performance are still not well understood.
ENERGY & ENVIRONMENTAL SCIENCE
(2022)
Article
Chemistry, Physical
Laisuo Su, Eunmi Jo, Arumugam Manthiram
Summary: In this study, a localized saturated electrolyte (LSE) was proposed for developing LiNiO2 cathodes and it was found that LSE can enhance the cycling stability of lithium-metal batteries, protect the surface of the cathode material from degradation, and promote the formation of a robust Li morphology.
ACS ENERGY LETTERS
(2022)
Article
Green & Sustainable Science & Technology
Yunjie Yang, Minli Bai, Laisuo Su, Jizu Lv, Chengzhi Hu, Linsong Gao, Yang Li, Yubai Li, Yongchen Song
Summary: This paper proposes a one-dimensional degradation model for the Pt-Co alloy catalyst in the cathode catalytic layer of a PEMFC, which can track the catalyst size evolution in real time and demonstrate the catalyst degradation during operation. The results show that severe dissolution of particles near the CCL/membrane leads to uneven aging of the Pt-Co alloy catalyst along the CCL thickness direction. Furthermore, it is found that a slight change in the upper potential limit can cause great harm to the catalyst performance and service life after a certain threshold. The study also reveals that operating temperature affects the Pt mass loss on the carbon support near the CCL/membrane side, but has little effect on the remaining Pt mass near the CCL/GDL side.
Article
Multidisciplinary Sciences
Jiarui He, Amruth Bhargav, Laisuo Su, Harry Charalambous, Arumugam Manthiram
Summary: By coupling the intercalation-type catalyst, MoTe2, with the conversion-type active material, sulfur, a new hybrid positive electrode material was created, which exhibited high discharge capacity and excellent cycling stability under high sulfur loading and lean electrolyte conditions.
NATURE COMMUNICATIONS
(2023)
Article
Energy & Fuels
Yulong Li, Zhifu Zhou, Laisuo Su, Minli Bai, Linsong Gao, Yang Li, Xuanyu Liu, Yubai Li, Yongchen Song
Summary: This study used three-dimensional thermal simulations to investigate the cooling effects of different methods on a lithium-ion battery pack. It found that single-phase direct cooling with fluorinated liquid can effectively control the temperature and temperature uniformity of the battery pack. The study also proposed two-phase immersion cooling as a promising new cooling method.
Article
Energy & Fuels
Laisuo Su, Mengchen Wu, Zhe Li, Jianbo Zhang
Summary: This study demonstrates the capability of machine learning techniques to accurately predict the cycle life of lithium-ion batteries by capturing hidden features in complex, nonlinear systems.
Article
Multidisciplinary Sciences
Laisuo Su, Paul Choi, Bharathy S. Parimalam, Shawn Litster, B. Reeja-Jayan
Summary: Operando experiments are gaining attention in lithium-ion battery studies for capturing non-equilibrium and fast-transient processes during electrochemical reactions. Designing a suitable and reliable electrochemical cell is crucial for ensuring accurate results, as poorly designed in-situ cells may introduce artifacts and lead to misleading data. This study introduces the steps and details of a specific type of in-situ cell, the modified coin cell, which has shown reliability in various operando experiments.
Article
Chemistry, Physical
Nathan Nakamura, Laisuo Su, Han Wang, Noam Bernstein, Shikhar Krishn Jha, Elizabeth Culbertson, Haiyan Wang, Simon J. L. Billinge, C. Stephen Hellberg, B. Reeja-Jayan
Summary: Exposure to EM fields during materials synthesis can lead to rapid crystallization and phase transitions. Low-energy EM fields can influence atomic structural arrangements, with phase stability mediated by oxygen vacancy-induced structural distortions dependent on local electric field intensity. The link between field strength and atomic structure opens up new possibilities for exploring phase space and material properties.
JOURNAL OF MATERIALS CHEMISTRY A
(2021)
Article
Chemistry, Physical
Nathan Nakamura, Laisuo Su, Jianming Bai, Sanjit Ghose, B. Reeja-Jayan
JOURNAL OF MATERIALS CHEMISTRY A
(2020)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.
