Sodium-ion batteries (SIBs) are experiencing a large-scale renaissance to supplement or replace expensive lithium-ion batteries (LIBs) and low energy density lead-acid batteries in electrical energy storage systems and other applications. In this case, layered oxide materials have become one of the most popular cathode candidates for SIBs because of their low cost and comparatively facile synthesis method. However, the intrinsic shortcomings of layered oxide cathodes, which severely limit their commercialization process, urgently need to be addressed. In this review, inherent challenges associated with layered oxide cathodes for SIBs, such as their irreversible multiphase transition, poor air stability, and low energy density, are systematically summarized and discussed, together with strategies to overcome these dilemmas through bulk phase modulation, surface/interface modification, functional structure manipulation, and cationic and anionic redox optimization. Emphasis is placed on investigating variations in the chemical composition and structural configuration of layered oxide cathodes and how they affect the electrochemical behavior of the cathodes to illustrate how these issues can be addressed. The summary of failure mechanisms and corresponding modification strategies of layered oxide cathodes presented herein provides a valuable reference for scientific and practical issues related to the development of SIBs.

Routes to high-performance layered oxide cathodes for sodium-ion batteries.

As an ideal candidate for the next generation of large‐scale energy storage devices, sodium‐ion batteries (SIBs) have received great attention due to their low cost. However, the practical utility of SIBs faces constraints imposed by geographical and environmental factors, particularly in high‐altitude and cold regions. In these areas, the low‐temperature (LT) performance of SIBs presents a pressing technological challenge that requires significant breakthroughs. In LT environments, the electrochemical reaction kinetics of SIBs are sluggish, the electrode/electrolyte interface is unstable, and the diffusion of sodium ions in electrode materials is slow, leading to a decrease in battery performance. Therefore, the reasonable design of electrolyte and electrode materials is of great significance for optimizing the LT performance of SIBs. In this review, the research progress of LT SIBs electrolytes, cathode, and anode materials, as well as sodium metal batteries and solid‐state electrolytes is systematically summarized in recent years, aiming to understand the design principles of LT SIBs, clarify the basic research and development of high‐performance SIBs in practical applications, and promote the development of SIBs technology in the full temperature range.

Low‐Temperature Sodium‐Ion Batteries: Challenges and Progress

Sodium-ion batteries (SIBs) possess enormous development potential and broad market prospects in the field of large-scale energy storage and low-speed electric vehicles with low cost and abundant resources. The current...

Improvement of Cycle Life for Layered Oxide Cathodes in Sodium-Ion Battery

This review comprehensively summarizes the operation fundamentals of SMBs in different environments and proposes various targeted optimization strategies. 

Wide-range temperature sodium-metal batteries: From fundamentals, obstacles to optimization

The shortage of resources such as lithium and cobalt has promoted the development of novel battery systems with low cost, abundance, high performance, and efficient environmental adaptability. Due to the abundance and low cost of sodium, sodium-ion battery chemistry has drawn worldwide attention in energy storage systems. It is widely considered that wide-temperature tolerance sodium-ion batteries (WT-SIBs) can be rapidly developed due to their unique electrochemical and chemical properties. However, WT-SIBs, especially for their electrode materials and electrolyte systems, still face various challenges in harsh-temperature conditions. In this review, we focus on the achievements, failure mechanisms, fundamental chemistry, and scientific challenges of WT-SIBs. The insights of their design principles, current research, and safety issues are presented. Moreover, the possible future research directions on the battery materials for WT-SIBs are deeply discussed. Progress toward a comprehensive understanding of the emerging chemistry for WT-SIBs comprehensively discussed in this review will accelerate the practical applications of wide-temperature tolerance rechargeable batteries.

Emerging Chemistry for Wide-Temperature Sodium-Ion Batteries.

P2‐type Na2/3Ni1/3Mn2/3O2 (NNMO) has been investigated as one of the promising cathode materials of sodium‐ion batteries (SIBs) due to a low‐cost and wide‐temperature‐range adaptability. However, its application faces a number of obstacles because of the poor cycling stability and bad rate capabilities. Herein, by accommodating more Na‐ions at the e‐site (Nae) in P2‐type NNMO, which is thermodynamically more stable, P2‐type layered oxides (Nae/Naf > 1.64) with outstanding electrochemical performance are obtained. Specifically, the Na0.696Ni0.329Mn0.671O2 (NM‐2) exhibits a remarkable capacity retention of 71.9% after 1000 cycles at 1C and an excellent rate capability of 54.33 mAh g−1 at 50C. In addition, NM‐2 exhibits a wide temperature working range, even at extreme temperatures for batteries (−30 or 60 °C), it still shows a capacity close to room temperature and good cycle stability compared with 25 °C. These performances are demonstrated to be attributed to the fast kinetics of the Na ions in the Nae site, which has a lower energy barrier compared to Naf (0.8301 eV for edge sites and 1.0664 eV for face sites). This work gives a fundamental understanding of the Na‐storage mechanism in Na2/3Ni1/3Mn2/3O2, and also provides a universal strategy to improve the rate and cycling life of P2‐type layered oxide cathode materials.

Regulating Na Occupation in P2‐Type Layered Oxide Cathode for All‐Climate Sodium‐Ion Batteries

Illustration of the interfacial reaction between LiNixCo1−xO2 with different Ni/Co proportion and LSPSC in ASSLB.

The effect of electrochemically active element species on the stability of the layered cathode–sulfide electrolyte interface

This article deals with speed observation methods for sensorless induction motor drives (SIMD). The speed observability of SIMD near zero stator frequency is a well-known concern. Using adaptive magnetizing current, existing methods are capable of crossing the zero-stator-frequency line, but still limited to constant load conditions. To solve these problems, this paper presents a phase compensation factor-based low frequency crossing method with changing loads (PCF-LFCCL) to realize low frequency crossing process with decreased overcurrent and speed spikes. Firstly, the influence of load variations is studied finely, the LFCCL method is proposed with adaptive magnetizing current. Secondly, the torque output capacity analysis is given and illustrated. On this basis, the synchronous speed limit can be adopted properly. Thirdly, a generalized current model is developed for SIMD. The model reveals the phase delay phenomenon between magnetizing current reference and actual torque current, which can lead to speed spikes and overcurrent. To address this issue, a phase compensation factor (PCF) based method is developed by reconstructing compensation values to correct the torque current. Finally, comparative experiments are presented to validate the PCF-LFCCL method, including stator resistance error test for parameter robustness. 

Phase Compensation Factor-Based Low Frequency Crossing for Sensorless Induction Motor Drives With Changing Loads

Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Exponential Reaching Law Sliding Mode Observer

The existing motor fault classification methods mostly use sensors to detect a single fault feature, which makes it difficult to ensure high diagnostic accuracy. In this paper, a motor fault classification method based on multi-source information fusion Naive Bayes classification algorithm is proposed. Firstly, this paper introduces the concept and advantages of multi-source information fusion, as well as its problems of miscellaneous information and inconsistent data magnitude. For example, as this paper classifies the fault of generators, there are many physical quantities, such as voltage, current and temperature, which are not in the same dimension, therefore it is difficult to fuse. Then, aiming at the corresponding problems, this paper uses a PCA dimension reduction method to remove redundant information and reduce the dimension of multi-dimensional complex information. Aiming at the problem of unequal data magnitude, the interval mapping method is adopted to effectively solve the misjudgment caused by unequal data magnitude. After the initial multi-source information processing, the classical Naive Bayes classification algorithm is used for fault classification, and the algorithm diagnosis and verification are carried out according to the statistical fault data. Use of the algorithm increases accuracy to more than 97%.

/pdf/generator-fault-classification-method-based-on-multi-source-2np2n5j3.pdf

Generator Fault Classification Method Based on Multi-Source Information Fusion Naive Bayes Classification Algorithm

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