Opportunities for battery aging mode diagnosis of renewable energy storage

Joule

Published On 2023/7/19

Lithium-ion batteries are key energy storage technologies to promote the global clean energy process, particularly in power grids and electrified transportation. However, complex usage conditions and lack of precise measurement make it difficult for battery health estimation under field applications, especially for aging mode diagnosis. In a recent issue of Nature Communications, Dubarry et al. shed light on this issue by investigating the solution based on machine learning and battery digital twins. They achieved aging modes diagnosis of photovoltaics-connected batteries working for 2 years with more than 10,000 degradation paths under different seasons and cloud shading conditions.

Journal

Joule

Published On

2023/7/19

Volume

7

Issue

7

Page

1405-1407

Authors

Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Position

Professor at

H-Index(all)

104

H-Index(since 2020)

72

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Power Electronics

Smart Batteries

AI

University Profile Page

Yunhong Che

Yunhong Che

Chongqing University

Position

H-Index(all)

16

H-Index(since 2020)

16

I-10 Index(all)

0

I-10 Index(since 2020)

0

Citation(all)

0

Citation(since 2020)

0

Cited By

0

Research Interests

Energy Storage Systems

Transportation electrification

Prognostics and Health Management

Battery

University Profile Page

Other Articles from authors

Yunhong Che

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Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

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Health Prediction for Lithium-Ion Batteries Under Unseen Working Conditions

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

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Owing to the nonnegligible impacts of temperature on the safety, performance, and lifespan of lithium-ion batteries, it is essential to regulate battery temperature to an optimal range. Temperature monitoring plays a fundamental role in battery thermal management, yet it is still challenged by limited onboard temperature sensors, particularly in large-scale battery applications. As such, developing sensorless temperature estimation is of paramount importance to acquiring the temperature information of each cell in a battery system. This article proposes an estimation approach to obtain the cell temperature by taking advantage of the electrothermal coupling effect of batteries. An electrothermal coupled model, which captures the interactions between the electrical and the thermal dynamics, is established, parameterized, and experimentally validated. A closed-loop observer is then designed based on this coupled model …

Remus Teodorescu

Remus Teodorescu

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Artificial Intelligence-Based State-of-Health Estimation of Lithium-Ion Batteries

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

arXiv preprint arXiv:2402.07777

Novel Low-Complexity Model Development for Li-ion Cells Using Online Impedance Measurement

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

IEEE Transactions on Industrial Informatics

A Battery Digital Twin From Laboratory Data Using Wavelet Analysis and Neural Networks

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Electric vehicle battery charging strategy

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities

Transportation electrification is a promising solution to meet the ever-rising energy demand and realize sustainable development. Lithium-ion batteries, being the most predominant energy storage devices, directly affect the safety, comfort, driving range, and reliability of many electric mobilities. Nevertheless, thermal-related issues of batteries such as potential thermal runaway, performance degradation at low temperatures, and accelerated aging still hinder the wider adoption of electric mobilities. To ensure safe, efficient, and reliable operations of lithium-ion batteries, monitoring their thermal states is critical to safety protection, performance optimization, as well as prognostics, and health management. Given insufficient onboard temperature sensors and their inability to measure battery internal temperature, accurate and timely temperature estimation is of particular importance to thermal state monitoring. Toward …

Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Fractional-order control techniques for renewable energy and energy-storage-integrated power systems: A review

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

IEEE Transactions on Vehicular Technology

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State/temperature monitoring is one of the key requirements of battery management systems that facilitates efficient and intelligent management to ensure the safe operation of batteries in electrified transportation. This paper proposes an online end-to-end state monitoring method based on transferred multi-task learning. Measurement data is directly used for sharing information generation with the convolutional neural network. Then, the multiple task-specific layers are added for state/temperature monitoring. The transfer learning strategy is designed to improve accuracy further under various application scenarios. Experiments under different working profiles, temperatures, and aging conditions are conducted to evaluate the method, which covers the wide usage ranges in electric vehicles. Comparisons with several benchmarks illustrate the superiority of the proposed method with better accuracy and …

Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Battery aging behavior evaluation under variable and constant temperatures with real loading profiles

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Yunhong Che

Yunhong Che

Chongqing University

Battery aging behavior evaluation under variable and constant temperatures with real loading profiles

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Remus Teodorescu

Remus Teodorescu

Aalborg Universitet

Small Signal Model of Modular Multilevel Converter with Power Synchronization Control

Power synchronization control (PSC) is one of the popular control schemes in grid-forming control-based converters because it simulates the grid support capability of conventional synchronous generators. However, prior research is based on two-level converters which do not have complex internal circuits, and whether PSC can be directly applied to the modular multilevel converter (MMC) topology since MMC has sub-module capacitor voltage ripples and inherent second harmonic circulating current algorithm, has not been analyzed. This paper establishes the small signal model of MMC with PSC considering the MMC internal dynamic and circulating current suppression control (CCSC). The power oscillation phenomenon when grid short-circuit ratio (SCR) increases is also demonstrated with the closed-loop system eigenvalues calculation and verified with the experimental results.

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Joule

Achieving 19.4% organic solar cell via an in situ formation of pin structure with built-in interpenetrating network

Vibrant research has demonstrated that the layer-by-layer (LBL) approach can achieve a preferable vertical microstructure; however, the lack of precise control over vertical composition and molecular organization remains. Herein, we demonstrated a guest polymer-tailored LBL (GPT-LBL) strategy to achieve the p-i-n microstructure constructed by in situ monitoring pre-aggregation behaviors of non-fullerene acceptors. This superior structure with built-in interpenetrating networks alleviates the trap density states and the energy loss, improves hole transfer dynamics, and balances the charge transport, thus maximizing open-circuit voltage (VOC), short-circuit current density (JSC), and fill factor (FF) simultaneously. Consequently, a highly efficient GPT-LBL organic solar cell (OSC) with a power conversion efficiency (PCE) of 19.41% (certified 19.0%) was achieved. Noticeably, the large-area (1.03 cm2) device for GPT …

Joyee S Chatterjee

Joyee S Chatterjee

Asian Institute of Technology

Joule

High with low: Harnessing the power of demand-side solutions for high wellbeing with low energy and material demand

The authors are all devoted energy system and sustainability transformation scholars, who collaborate regularly and actively at global and local levels to advance the knowledge space of demand-side solutions and policies. They are members of a growing bottom-up initiative, the Energy Demand Changes Induced by Technological and Social Innovations (EDITS) network (https://iiasa.ac.at/projects/edits), which builds on various research disciplines to facilitate advances in modeling, data compilation, and analysis of the scope and breadth of the potential contributions of demand-side solutions for climate change mitigation, improved wellbeing for all, and sustainability, complementing supply-side solutions for decarbonizing the energy and material systems.

Aditya Keskar

Aditya Keskar

North Carolina State University

Joule

Living laboratories can and should play a greater role to unlock flexibility in United States commercial buildings

Energy demand flexibility from commercial buildings can play a critical role in the ongoing energy transition. There is an urgent need to redirect more research and deployment efforts toward real-world experimentation. Buildings-sector roadmaps overwhelmingly rely on simulations that imperfectly capture reality. We draw lessons from a review of two decades of literature on real-world flexibility and demand response experiments and from our "Living Laboratory" experiences at three major academic institutions in the United States. While the prevailing method is "model first, experiment second," there is also strong value in "experiment first, model second" and in improving our understanding of a system through experimentation while modeling it. Commercial building clusters on university and corporate campuses offer valuable and often untapped potential. They are both ideal test beds for research on energy …

Bangzhi Ge

Bangzhi Ge

Xi'an Jiaotong University

Joule

Simultaneously engineering electronic and phonon band structures for high-performance n-type polycrystalline SnSe

n-type SnSe thermoelectrics has been seriously underdeveloped because of a lack of effective performance-enhancing strategies and doping/alloying agents. Herein, we report that conduction band electronic and phonon structures can be advantageously engineered simultaneously in both Pnma and Cmcm SnSe phases by dually incorporating Pb and Cd. They enhance the density of states near the conduction band edge in both phases by converging band minima and increasing effective mass (m0), consequently enhancing Seebeck coefficients (S) without damaging electrical conductivity. Because exclusively divalent Pb and Cd cations reduce innate Sn vacancies, carrier mobility decreases marginally despite the increased m0 and |S|. The tetrahedral Cd displaced from the cationic sublattice and much heavier Pb significantly soften and scatter phonon transport, depressing thermal conductivity significantly …

Jing Feng

Jing Feng

Harvard University

Joule

Highly stabilized thermoelectric performance in natural minerals

Excellent thermoelectric materials can be obtained by various synthesis procedures and optimization strategies, and the elaborately designed composition and microstructure benefit thermoelectric parameter decoupling. Herein, a high-performance mixed natural mineral (CQB), composed by chalcocite, quartz, and bismuthinite, enables direct thermoelectric energy conversion. The network of quartz layers is embedded into the matrix and blocks Cu ion long-range migration by producing the natural rheostat and voltage division circuit. The thermoelectric performance, mechanical strength, and electrical stability of natural minerals are found to be highly superior to the artificially synthesized Cu2S material. Learning from nature, a strategy for blocking mobile Cu+ ions in Cu-based superionic conductors is proposed. Various Cu-based superionic conductors, composited with insulating macroscale glass sheets, have …

GU Jun

GU Jun

École Polytechnique Fédérale de Lausanne

Joule

Another role of CO-formation catalyst in acidic tandem CO2 electroreduction: Local pH modulator

Electrochemical CO2 reduction on Cu-based catalysts is a promising technique to convert CO2 to high-value C2 and C3 feedstocks. High carbon efficiency can be achieved in acidic electrolytes, but Cu-based catalysts show suppressed activity toward C2+ formation in acidic conditions. Acid removes the oxygen-containing species on Cu, which are necessary for C–C coupling. In this work, a gas diffusion electrode (GDE)/Cu/Ni-N-C tandem configuration, in which Ni-N-C served as a CO2-to-CO catalyst, expressed a 5-time enhancement of C2+ formation activity compared with GDE/Cu. Electrochemical measurements and finite element simulations indicate the improved C2+ formation activity was due to the elevated local pH rather than the increased CO concentration in the Cu catalyst layer. The major function of the CO-formation catalyst in the tandem system working in an acidic condition is to modulate the local …