Electric Industry Research Articles

Research on driving mechanism and prediction of electric power carbon emission in Gansu Province under dual-carbon target

The electric power industry is a key industry for the country to achieve the double carbon target. Its low carbon development has a double effect on this industry and helps other industries to achieve the carbon peak target. This paper firstly uses the IPCC inventory method to calculate carbon emissions in the production phase of the power industry in Gansu Province from 2000 to 2019, followed by the ridge regression method and the STIRPAT model to analyse the quantitative impact of six major drivers on carbon emissions, and finally, the scenario analysis method is used to forecast carbon emissions in this phase. The results show that the carbon emissions of Gansu Province show a trend of rising and then falling, and reached a peak of 65.66 million tons in 2013. For every 1% increase in population effect, urbanisation level, affluence, clean energy generation share, technology level and industrial structure, carbon emissions will grow by 4.939%, 0.625%, 0.224%, − 0.259%, 0.063% and 0.022% respectively. Because of the clean energy advantage in Gansu Province, the low-carbon development scenario will continue to have low carbon emissions during the scenario cycle, which can be reduced to 53.454 million tons in 2030; the baseline scenario will achieve a carbon peak in 2025, with a peak of 62.627 million tons; the economic development scenario has not achieved carbon peak during the scenario cycle, and carbon emissions will increase to 73.223 million tons in 2030.

Cluster and Representative Models for Generation Units of Flexible Grids with Small Modular Reactors

The analysis of existing mathematical models for power systems with large shares of electricity production by NPP and renewable energy sources generation was carried out. The low level of adequacy is shown for power system models used in the problems of long-term development planning for generating plants with nuclear fuel and renewable energy sources. In order to plan the development of power systems at the current stage of technological changes in the electric power industry, new models of load modes for NPP units and generating equipment with renewable energy sources are proposed.
 Dispatching models with a cyclic forecast period were used to ensure the adequacy unit commitment models for NPP units and energy storage systems. Representative models of solar and wind power plants are presented, which, together with cluster models of NPP units and energy storage systems, solve the issue on the adequacy of power system modeling in current conditions of their development. The results of computational experiments with the proposed models for generating equipment of the flexible grid are presented. The adequacy of cluster mathematical models of NPP units and energy storage systems, as well as representative models of solar and wind power plants generating equipment is experimentally confirmed.

Characterization and health risk assessment of nine polychlorinated biphenyls in settled dust of residential buildings in a Middle Eastern area

Polychlorinated biphenyls (PCBs) are 209 persistent organic compounds with various applications in chemical, electrical and commercial industries. However, there is considerable evidence of environmental accumulation and potential adverse health effects of this compound. In this study, 40 indoor dust samples were randomly taken from Shiraz houses for the analysis of 9 PCB congeners (PCB-18, 28, 31, 44, 52, 138, 153, 189, 194). The dust samples were extracted with 100 ml dichloromethane/n-hexane/acetone in a Soxhlet appliance for 18 h and then analyzed using Gas Chromatography-Mass Spectrometry (GC-MS). The results showed that Σ9PCB were in the range of <dl – 9.31 ng/g and PCB-52, 31 and 28 were the predominant congeners. Moreover, houses with laminate floors had higher Σ9PCBs levels than the houses with ceramic floors. The hazard quotient (HQ) values for children and adults' exposure to 9 PCBs through ingestion route were lower than 1, indicating no adverse non-carcinogenic risk. Also, the incremental lifetime cancer risks (ILCRs) values were lower than 10−6 in low-risk and high-risk scenarios for the both age groups, which showed negligible carcinogenic risks arising from exposure to the analyzed PCBs. More studies focusing on biomonitoring and bioavailability approaches are recommended for future investigation to provide total intake of people to this pollutant from all routes of exposure.

MXene/BC@CoFe2O4 aerogel with excellent electromagnetic interference shielding and enhanced mechanical property

As electromagnetic radiation gradually increases, electromagnetic shielding becomes increasingly crucial. In the field of electromagnetic interference shielding, MXene aerogels have gradually attracted attention. However, the applicability of MXene aerogels is limited due to their poor mechanical and electromagnetic shielding capabilities. To address these issues, a hybrid aerogel, MXene/BC@CoFe2O4, was created using in-situ growth and single-directional freeze-drying methods. By generating CoFe2O4 magnetic nanoparticles on the surface of BC and using BCFO composite cellulose to modulate the electromagnetic interference shielding effectiveness (EMI SE) of MXene aerogel, the EMI SE of MXene/BC@CoFe2O4 aerogel reached 82.5 dB. In comparison to MXene aerogel, the compressive stress of MBCA is increased by 3.6 times, and BC@CoFe2O4 composite cellulose also improves the mechanical properties of MXene aerogel. The synthesized MXene/BC@CoFe2O4 aerogel demonstrates outstanding electromagnetic shielding performance and enhanced mechanical properties, presenting significant potential applications in aerospace and electrical equipment industries.

Comparative Analysis of Commonly Used Machine Learning Approaches for Li-Ion Battery Performance Prediction and Management in Electric Vehicles

The significant role of Li-ion batteries (LIBs) in electric vehicles (EVs) emphasizes their advantages in terms of energy density, being lightweight, and being environmentally sustainable. Despite their obstacles, such as costs, safety concerns, and recycling challenges, LIBs are crucial in terms of the popularity of EVs. The accurate prediction and management of LIBs in EVs are essential, and machine learning-based methods have been explored in order to estimate parameters such as the state of charge (SoC), the state of health (SoH), and the state of power (SoP). Various machine learning techniques, including support vector machines, decision trees, and deep learning, have been employed for predicting LIB states. This study proposes a methodology for comparative analysis, focusing on classical and deep learning approaches, and discusses enhancements to the LSTM (long short-term memory) and Bi-LSTM (bidirectional long short-term memory) methods. Evaluation metrics such as MSE, MAE, RMSE, and R-squared are applied to assess the proposed methods’ performances. The study aims to contribute to technological advancements in the electric vehicle industry by predicting the performance of LIBs. The structure of the rest of the study is outlined, covering materials and methods, LIB data preparation, analysis, the proposal of machine learning models, evaluations, and concluding remarks, with recommendations for future studies.

The growth behavior and kinetics of intermetallic compounds in Cu–Al interface at 600°C–800 °C

Due to the low production cost and light weight, copper-clad aluminum conductors show great potential value in the field of power transmission, while the phase structure and organizational changes at the Cu–Al interface in high-temperature environments have a great impact on the electrical and mechanical properties. In this paper, Cu–Al diffusion couples are prepared to study the diffusion process, microstructure, and growth kinetics of intermetallic compounds (IMCs) in Cu–Al interface during heating from 600 °C to 800 °C, and the mechanical and electrical properties of Cu–Al diffusion couples are discussed. The results show that after heat treatment, IMC layers are formed at the Cu–Al interface and the Al-side is composed of CuAl and CuAl2, in which the CuAl phase transforms from long to thick dendrites with the increase of temperature, and finally grows into a “popcorn” form. The IMCs at the Cu–Al interface from the Cu side to the Al side are in the order of Cu3Al layer, Cu9Al4 layer, Cu3Al2 layer and CuAl layer, among which the Cu3Al2 layer is the thickest (168.42 μm at 700 °C), while the Cu3Al layer is the thinnest (37.32 μm at 700 °C). The kinetic calculations show that the diffusion layer grows up rapidly, which is caused by the generation of liquid-phase during the heating process, leading to the acceleration of the diffusion of Cu and Al. The kinetic factor of the Cu3Al2 layer is the largest (n = 0.69), causing the fastest growth rate of the Cu3Al2 layer, while the Cu3Al layer shows the largest activation energy for diffusion and the smallest diffusion rate (Q = 9.48 kJ/mol, D0 = 2.06 × 10−1 m2/s), therefore its growth rate is the slowest. Based on the thermodynamic calculations and the Cu–Al phase diagram, a growth mechanism of the Cu–Al interface is proposed, the formation sequence of IMCs at the Cu–Al interface is Cu9Al4, CuAl, Cu3Al2 and Cu3Al. The formation of IMCs layer at the Cu–Al interface leads to a significant increase in the hardness of Cu–Al samples (the hardness of the Cu3Al2 is 10 times higher than that of Cu) and an obvious decrease in electrical conductivity (the electrical resistivity of Cu–Al is 5 orders of magnitude higher than that of Cu), affecting its application in the electrical industry.

The use of digital content in increasing consumer awareness and interest towards electric bicycles

In efforts to promote environmentally friendly products like electric bicycles, digital marketing strategies continue to evolve to meet the informational and persuasive needs of potential consumers. This study aims to investigate the impact of digital content usage on increasing consumer awareness and interest in electric bicycles. The research method employed is a literature review, searching for related literature. The findings indicate that creative, educational, and interactive visual content plays a significant role in building brand awareness and driving consumer interest. A multi-platform strategy that utilizes social media, blogs, and email marketing has proven effective in reaching a broader target audience. Additionally, personalized content, the use of influencers, and interactive dialogue between the brand and consumers can enhance engagement and the likelihood of conversion. This research provides insights into best practices in digital marketing for sustainable products, offering strategic recommendations for electric bicycle industry players, and suggests directions for further research in digital marketing dynamics.

Research and Development towards Realizing a Hydrogen Society at Sumitomo Electric Industries, LTD.

Research and Development towards Realizing a Hydrogen Society at Sumitomo Electric Industries, LTD.

Effects of Pore Distribution on Mechanical Properties of Selective Laser Melted Inconel-718

In recent years, Selective Laser Melting (SLM) technology has made significant advancements, offering high precision and near-net shaping capabilities that are widely applicable in aerospace, mechanical, and electrical industries. Inconel-718, known for its exceptional high-temperature corrosion resistance, fatigue endurance, and wear resistance, has found extensive use in aerospace applications such as gas turbine disks, rocket engines, and spacecraft components. However, the presence of porous defects in SLM-manufactured metal parts is inevitable, and these pores significantly affect the mechanical properties of the materials. While contemporary studies have focused on the influence of individual or a limited number of pores, the impact of pore distribution has been largely overlooked. This oversight leads to reduced prediction accuracy and hampers the practical implementation of SLM technology. Therefore, this paper specifically investigates the impact of pore distribution on the performance of SLM-manufactured metal materials, using Inconel-718 as an example. The study establishes simulation experiment models to explore diverse pore distribution patterns, including spatial position distribution models and spatial quantity distribution models. The Finite Element Method (FEM) model utilizes the Johnson-Cook constitutive model, and the pores are equivalently modelled as two-dimensional plane ellipses. Uniaxial tension simulations are performed to analyze the mechanical behavior of the materials. The results demonstrate that the mechanical properties of SLM-fabricated Inconel-718 are significantly influenced by the spatial position distribution, spatial quantity distribution, and spatial orientation distribution of the pores. Under different spatial position distributions, materials with more pores parallel to the stretching direction exhibit poorer mechanical performance due to earlier and more significant stress concentration. Under different spatial quantity distributions, materials with a higher pore density and smaller pore spacing show worse mechanical performance due to earlier and more severe stress concentration. Under different spatial orientation distributions, materials with a larger angle between the pore’s major axis and the stretching direction exhibit worse mechanical performance due to enhanced stress and earlier and more severe stress concentration. Overall, this study highlights the importance of considering pore distribution in SLM-manufactured metal materials, providing insights into the impact of spatial position, quantity, and orientation distributions on the mechanical properties of Inconel-718.

Matching geographies and job skills in the energy transition

The changing US energy system raises concerns of job losses among fossil fuel workers. Since these employment impacts vary considerably across the US, policies must be tailored to local contexts. We develop an analytical approach to help policymakers understand the localized opportunities and challenges that energy workers may face. We first estimate the exposure of local labor markets to job displacement in fossil fuel extraction, transportation, processing, and electricity industries. We then assess the extent to which the skill sets of fossil energy workers match similarly-paying jobs with high growth in their local labor markets. We document substantial differences across local labor markets in terms of fossil fuel workforce demographics, their current job skills, and how well these skills align with those for in-demand jobs over the coming decade. We find that other than most technical skills, skills important for fossil fuel jobs typically differ from those necessary for fast-growing occupations with similar levels of pay, many of which require extensive service-oriented and management skills. Our methodology and associated analytical tools can be readily used to provide locally tailored information about skills mismatches between the existing fossil energy workforce and in-demand sectors, suggesting areas where workforce development may bear the most fruit.

Public policies to foster green hydrogen seasonal storage: Portuguese study case model until 2040

Portugal made a climate commitment when it ratified the Paris Climate Agreement in 2015. As a result, Portugal, along with other EU members, has created a national roadmap for the deployment of hydrogen as a crucial component of Portugal's energy transition towards carbon neutrality, creating synergies between the electric and gas systems.The increased variability of generation from variable renewable power sources will create challenges regarding the security of supply, requiring investment in storage solutions to minimize renewable energy curtailment and to provide dispatchability to the electric power system. Hydrogen can be a renewable energy carrier capable of ensuring not only the desired transformation of the infrastructures of the gas system but also an integrator of the Electric System, such as in Power-to-Power (P2P) systems. Hydrogen can be produced with a surplus of renewable electricity from wind and solar, allowing a long-term energy seasonal storage strategy, namely by using underground salt caverns, to be subsequently transformed into electricity when demand cannot be supplied due to a shortage of renewable generation from solar or wind.P2P investments are capital intensive and require the development of transitional regulation mechanisms to both create opportunities to market agents while fostering the energy surplus valuation and decreasing the energy dependency. In order to maintain the electric system's security of supply, the suggested methodology innovatively manages the importance of seasonal storage of renewable energy surplus using hydrogen in power systems. It suggests a novel set of regulatory strategies to foster the creation of a P2P solution that maintains generation adequacy while assisting in decarbonising the electric power industry. Such methodology combines long-term adequacy assessment with regulatory framework evaluation to evaluate the cost of the proposed solutions to the energy system.A case study based on the Portuguese power system outlook between 2030 and 2040 demonstrates that the considerable renewable energy surplus can be stored as hydrogen and converted back into electricity to assure adequate security of supply levels throughout the year with economic feasibility under distinct public policy models.

Influence of polyether ether ketone (PEEK) viscosity on interlayer shear strength in screw extrusion additive manufacturing

The excellent properties of polyether ether ketone (PEEK) have made it applicable for high-performance components in aerospace, electrical, chemical, and biomedical industries. Material extrusion (MEX) additive manufacturing (AM) of PEEK using fused filament fabrication (FFF) predominantly uses modified PEEK filament. Fused granulate fabrication (FGF) systems conventionally employ injection moulding and extrusion grades which are not specifically formulated for MEX AM. There is a limited amount of research on the use of these grades for MEX AM using PEEK. This study evaluated different viscosity PEEK grades at various extruder temperatures to optimise interlayer strength and therefore determine the best grades of PEEK for FGF. Compression shear testing (CST) was used to study this property as it represents a mostly shear loading condition i.e., without bending, compared to other conventional shear testing methods, whilst also being easier to fabricate. PEEK crystallinity is corelated to the interlayer strength and was evaluated using differential scanning calorimetry (DSC), Raman spectroscopy and X-ray diffraction (XRD). The highest interlayer strength of 17.70±0.58 MPa and the lowest crystallisation degree of 29.7±1.3% (Raman) was achieved by VESTAKEEP L4000G PEEK, printed at the highest extruder temperature (420°C). This grade had the highest viscosity or the lowest melt volume-flow rate (MVR). In contrast with lower MVR grades, the high MVR grade VESTAKEEP L2000G, achieved a higher increase in bond strength and crystallinity with higher extruder temperatures. At lower MVR, the crystallinity was found to decrease from 33% to 30% with increasing extruder temperatures, along with an increase in melting temperature. This behaviour was attributed to a change in crystalline morphology possibly caused by the long residence time and high processing temperature of FGF.

Experimental investigation of batteries thermal management system using water cooling and thermoelectric cooling techniques

The booming electric vehicle industry seeks fast charging solutions to address the safety risks posed by high-power charging, including thermal runaway and other safety issues. This study investigates the impact of combining liquid with thermoelectric cooling on battery thermal management. A series of experiments were conducted using various thermal batteries, liquid flow rates and batteries temperature thermoelectric. The experimental results compared air cooling (AC), water cooling (WC), and thermoelectric cooling (TEC) with different water flow (WF) rate in system and revealed that TEC with WF at 4.0 l/min was the best cooling system. This system can decrease the temperature by about 41-52% from the maximum temperature at discharge rates of 1.0, 1.5, 2.0, 2.5, and 3.0 °C. However, TEC with WF 1.0 and 2.0 l/min can effectively lower the temperature and reduce energy consumption compared to other cooling systems, while still maintaining the battery temperature within appropriate ranges.

Критерии теплосетевых организаций: проблемы правоспособности

Amendments to the heat supply laws came into force over a year ago, providing criteria for acquiring the status of a heat network company. The purpose of these innovations was to bring order to the heat market and maintain competent professional players. It aimed at consolidating network assets in the last resort heat supplier, the unified heat distribution company, and depriving enterprises that lack the necessary material, labor, and technical resources for proper maintenance and repair of heat networks of the status of a heat network company. The intermediate results of the reform suggest now that the legislator’s expectations were not fully met. While disclosing the historical peculiarities of heat industry development in the pre-reform period, this article examines the factors that first led to the emergence of multiple heat network companies in the heat supply market and then prompted the legislator to take measures to optimize the number of regulated organizations. To simulate the potential effects of legal regulation, the author examines the electric power industry, which is related to heat supply. The legislator had already established criteria for local grid organizations in this industry several years before the reform of heat network companies. However, the legal position of the Constitutional Court of the Russian Federation prevented the legislator’s efforts from being fully implemented. To address the problem at hand, the author suggests transitioning from quantitative to qualitative criteria for evaluating an entity’s compliance with the status of a heat network company. This approach will prioritize the reliability of heat supply over using compliance as a formal basis for depriving bona fide enterprises of the status of a professional player in the heat market.

Цифровая трансформация энергетической отрасли и задачи ее правового обеспечения

This article examines the effects of digital transformation on the energy sector. The author identifies the key technologies that have already had or will have a transformative impact on the electric and heat power industry. The article considers the benefits of digital transformation and highlights the factors contributing to its implementation. The study identified the key areas of digital transformation in the energy sector and developed recommendations for their implementation, taking into account potential problems. Digital transformation has become a crucial factor in the development of the energy sector, as technological advancements significantly impact energy production, transmission, and consumption processes. Energy companies have already recognized the potential of digital technologies and have taken steps to optimize their processes with innovation in mind. The digitalization of the energy industry involves the collection and processing of a large amount of data on consumption, payments, and other parameters. Therefore, it is important to define rules for the collection, storage, and use of this data, as well as guarantees of its confidentiality and protection from unauthorized access at the legislative level. The author argues for the necessity of updating existing regulations and developing new ones to introduce digital technologies and manage associated risks.

Experimental Study on Mechanical Characteristics of Aluminium Metal Matrix Composite Reinforced with Titanium Oxide (TiO2) and Graphite (Gr) Particles Processed by Stir Casting Method

Abstract: In recent trend Aluminium based metal matrix composites are most used in mechanical and automobile component design applications because of their excellent mechanical, Tribological and its physical properties. Also, Aluminium metal matrix composites are used for a variety of applications such as military, aerospace, electrical industries, and automotive purposes. The present work concentrates on the experimental study on the effects of TiO2 and Gr on aluminium alloy. During this investigation, Titanium oxide (TiO2) and Graphite (Gr) particles was reinforced with aluminium and it was prepared using stir casting technique with various weight percentage combinations of TiO2 particles 2% by wt., 4% by wt., and 6% by wt. and 3% of Gr constant for all trials. Mechanical parameters were estimated by selecting the standard test methods.

Distribution of Electric Vehicle Travel in Dalian City of China

Background:: Since the second half of 2021, the prices of natural gas, coal and oil have soared, but at the same time, the Russia-Ukraine conflict is likely to become a catalyst for Europe and the world to accelerate the green and low-carbon transformation of energy, prompting countries to accelerate investment in renewable energy, improve energy security and achieve energy independence and the energy crisis started in Europe and eventually spread around the world. Under the new circumstances, the global green and low-carbon energy transition is imperative. The International Energy Agency released the "2023 Global Electric Vehicle Outlook" report, which showed that global electric vehicle sales will grow by 35% in 2023 from the previous year to 14 million units, increasing the total share of the overall vehicle market to 18%. Replacing traditional fossil fuels with low energy consumption and low pollution has become a trend in the automotive industry. Objective:: Therefore, this paper studies the travel distribution pattern of electric vehicles in Dalian city, which paves the way for the future development of the electric vehicle industry. Method:: First of all, this paper predicted the number of electric vehicles in Dalian in the next five years. Next, the gravity model and double-constraint gravity model were used to predict and analyze the travel generation, attraction and distribution of each traffic district. The gravity model is based on the concept of gravity in physics, this model can simulate the travel attraction between transportation communities. The dual constraint gravity model is an extension of the gravity model, taking into account the impact of factors other than distance on traffic distribution. For example, land type, land intensity utilization coefficient, etc. Finally, taking Shahekou District of Dalian city as an example, this paper made an empirical analysis of the travel distribution of electric vehicles in Shahekou District. Results:: This article fully considers the impact of land use types on residents' travel. Residential land is an important factor affecting travel volume, while public facility land is an important factor affecting attraction volume. For areas with high travel attractions, it is necessary to consider building more charging facilities around them to solve the problem of difficult charging. The distribution results showed that the amounts of travel in each traffic community were not much different, but their attraction volumes were greatly different. Conclusion:: After understanding the distribution of electric vehicle traffic in various residential areas, it is possible to arrange the planning of public charging facilities more reasonably. The research provides practical guidance for the transportation planning of electric vehicles in such urban cities as Dalian city.

Tata Motors Limited: strategic journey towards electric vehicle

Learning outcomes The case study has been prepared for management students/business executives to understand electric vehicle (EV) business, business environment, industry competition and strategic planning and strategy implementation. Case overview/synopsis The size of the Indian passenger vehicle market was valued at US$32.70bn in 2021; it was projected to touch US$54.84bn by 2027 with a Compound Annual Growth Rate (CAGR) of more than 9% during the period 2022–2027. The passenger vehicle industry, a part of the overall automotive industry, was expected to grow at a rapid pace, as the Indian economy was rising at the fastest rate. However, the Government of India (GoI) had put a condition on the growth scenario by mandating that 100% of vehicles produced would be EVs by 2030. Tata Motors (TaMo), a domestic player in the market, had been facing a challenging competitive environment. Although it had been incurring losses, it had successfully ventured into the EV business. TaMo had taken advantage of the first mover by creating an electric mobility business vertical to enable the company to deliver on its aspiration of providing innovative and competitive e-mobility solutions. TaMo leadership had been putting efforts to scale up the electric mobility business, thus, contributing to GoI’s plan for electric mobility. Shailesh Chandra, president of electric mobility business, had a big task in hand. He had to scale up EV production and sales despite insufficient infrastructure for charging and shortages of electronic components for manufacturing. Complexity academic level The case study has been prepared for management students/business executives for strategic management class. It is recommended that the case study is distributed in advance so that the students can prepare well in advance for classroom discussions. Groups will be created to delve into details for a specific question. While one group will make their presentation, the other groups will question the solution provided and give suggestions. Supplementary materials Teaching notes are available for educators only. Subject code CSS 11: Strategy.

Competition and Coordination: Regional Dynamics in the Rise of China’s New Energy Vehicle Industry

Studies on China’s success in the electric vehicle industry overlook the role of regional clustering and regional electric vehicle policies in supporting sustainable production and consumption. This paper adopts a mixed-method policy inventory and analysis to examine the rise of the new energy vehicle (NEV) industry in China’s Greater Bay Area. It also systematically analyses the policies implemented by the central government, province, and cities in building a sustainable regional industry. A core dilemma is that cities are competing with one another for NEV development, yet regional industrial development requires coordination and cooperation. Examining the four policy areas of production, consumption, infrastructure support, and pollution suppression reveals that the competition among cities can be a driving force for the adoption of sustainable technology when supported by regional policy coordination.

Dual Redox Mediators Assisted Hierarchically Porous Hollow Carbon Shell Cathode for Enhanced Performance Li‐O2 Battery

AbstractRechargeable lithium‐oxygen (Li‐O2) batteries with high theoretical energy density are regarded as a promising candidate for the booming electric vehicle manufacturing industry, whereas their commercial application is hindered due to poor cyclic stability caused by the sluggish kinetics and inevitable cathode passivation. Herein, a synergistic working mechanism of Li‐O2 battery is initiated by implementing well‐designed hollow carbon shells with hierarchically porous hollow structure (HCS) assisted by dual redox mediators (RMs) simultaneously, so as to systemically address issues of diminished discharge capacity and reaction kinetics. The hierarchically porous structure of HCS constructs more space to accommodate Li2O2, increases the accessibility of active sites, and enhances discharge capacity. More importantly, the dual RMs regulate the growth mechanism of Li2O2 in surface‐mediated mode, resulting in an easily decomposed film‐like Li2O2 with higher electron transport capacity and improving the reaction kinetics. As a result of the synergistic effort, an HCS‐based Li‐O2 battery with dual RMs manifests a total discharge capacity of 24580 mA h g−1 and a prolonged cycle life of 2500 h at the current density of 100 mA g−1. This design philosophy will open up a new way to optimize and upgrade the cathode materials of Li‐O2 batteries.