Development Of New Energy Vehicles Research Articles

Stochastic response and stability analysis of nonlinear vehicle energy-regenerative suspension system with time delay

With the rapid development of new energy vehicles, a novel vehicle energy-regenerative suspension for simultaneous vibration suppression and energy harvesting has become one of the key development directions of the next generation of vehicle design. In order to improve the performance of suspension system, the time-delayed feedback control is applied to the novel suspension system subjected to different external excitation. At the same time, there are few studies related to the stochastic dynamics of nonlinear vehicle energy-regenerative suspension system with time delay. This paper studies stochastic response and stability of nonlinear vehicle energy-regenerative suspension with time-delayed feedback control under the excitation of Gaussian white noise. First of all, a stochastic dynamic model of the nonlinear vehicle energy-regenerative suspension with time delay system is established. Secondly, using the stochastic averaging method based on generalized harmonic function, the steady-state probability density function (PDF) of amplitude is obtained. The accuracy of the presented approach is verified through the comparison of analytical and numerical solutions. In addition, through combining the stochastic averaging method with the Khasminskii method, the top Lyapunov exponent (TLE) of the system is obtained, and then the influence of time delay and system parameters on the asymptotic Lyapunov stability is discussed. Finally, the effects of time delay and system parameters on system performance are also studied.

The impact of climate change on vehicle engineering and countermeasures

With the increasingly severe climate change, the field of vehicle engineering is facing numerous challenges and opportunities. This article aims to analyze the impact of climate change on vehicle engineering and propose corresponding strategies. Firstly, the research background and significance are introduced, and the current research status both domestically and internationally is analyzed. Following that, a comprehensive analysis is conducted on the impact of climate change on vehicle engineering, including the influence of current climate change on the development of vehicle engineering, the impact of low-carbon transportation on the development of vehicle engineering, and the influence of climate change on vehicle safety. Then, the role of vehicle engineering in responding to climate change is discussed in detail. Finally, development strategies for vehicle engineering are proposed, including the development of new energy vehicles, improvement of autonomous driving technology, and optimization of transportation policies. This study explains the impact of climate change on vehicle engineering and proposes strategies for long-term development.

Study on Development Suggestions for the Key Parts Industry Chain of China's New Energy Vehicles

The development of new energy vehicles is the inevitable path for China's automotive industry to transition from being a large player to a powerful one. This article focuses on analyzing the current development status of China's automotive industry, particularly in the realm of new energy vehicles. It examines the domestic market situation and export competition landscape of new energy vehicles, further evaluating the current status of the new energy vehicle industry chain, technological situation, enterprise competition landscape, and the regional distribution pattern of core components. Finally, based on the problems existing in the development of the new energy vehicle industry chain, it puts forward targeted development suggestions.

Does the dual-credit policy promote the technological development of new energy vehicles? An industry chain reconstruction perspective

With the deep application of automation and digitalization technologies, the global automobile value chains are undergoing a new round of large-scale restructuring, and the traditional supply chain structure taken vehicle manufacturers as the core has been broken. The dual-credit policy (DCP), taking over the subsidies for new energy vehicles (NEVs), plays a vital role in reconstructing, transforming, and upgrading the automobile industry. The target group of DCP is passenger vehicle manufacturers, but it is unclear how its implementation will affect the NEV industry chain. To address this issue, this study examined the impact of the DCP on the innovation performance of automobile manufacturing enterprises using a DID (difference-in-difference) model based on the data of 693 listed advanced manufacturing enterprises in China A-shares from 2014 to 2021. The empirical results show that the DCP has significantly promoted the innovation performance of automobile manufacturing enterprises. In terms of supply chain role heterogeneity, the impact of the DCP on the innovation performance of parts manufacturers is more significant. Regarding enterprise ownership heterogeneity, the DCP has a greater impact on the innovation performance of SOEs(state-owned enterprises). In addition, regarding regional heterogeneity, enterprises in eastern and middle regions are significantly affected by the DCP to improve innovation performance.

Efficient production of kilometer-scale ultrafine aluminum wire with superior strength and electrical conductivity

The rapid development of new energy vehicles has generated considerable interest in the efficient production of ultrafine aluminum electronic wiring harnesses with superior strength and electrical conductivity (EC). However, achieving a balance between strength and EC/ductility remains a challenge. To overcome the trade-off relation, we precisely controlled the grain size and grain boundary structure by using ultrafine aluminum powders (∼1 μm) as the starting material, and introduced dislocations into the as-sintered sample to enhance the strain rate sensitivity via cold deformation. In the cold-deformed sample, a unique mechanical response was observed: the elongation increased with deformation. Meanwhile, the strength and EC maintained to be a high level. Based on the unique properties, we successfully fabricated kilometer-scale ultrafine aluminum wire (0.2 mm in diameter) by cold deformation without any intermediate annealing, realizing high strength (206 MPa) and high EC (59.1%IACS, International Annealed Copper Standard) simultaneously. Our work provides a new concept and a new processing route to efficiently produce ultrafine aluminum electronic wiring harness with excellent properties.

The effect analysis of shape design of different charging piles based on Human physiological characteristics using the MF-DFA

With the rapid development of new energy vehicles, the users have an increasing demand for charging piles. It is generally believed that the charging pile is a kind of practical product, and it only needs to realize the charging function. However, as a product, the shape design of the charging pile will directly affect the user experience, thus affecting product sales. Therefore, in the face of increasingly fierce market competition, when designing the shape of charging piles, it is necessary to adopt the traditional evaluation method and human physiological cognitive characteristics to evaluate the shape of charging piles more objectively. From the user’s point of view, using the electroencephalogram (EEG) of the user, with the help of the multifractal detrended fluctuation analysis (MF-DFA) method, this paper comprehensively analyzes the differences in emotional cognitive characteristics between two kinds of charging piles, namely, the charging pile with a curved appearance design and the charging pile with square appearance design. The results show that there are significant differences in human physiological cognitive characteristics between two kinds of charging piles with different shapes. And different shapes of charging piles have different physiological cognitive differences for users. When designing charging pile product shapes, human beings can objectively evaluate the product shape design according to the physiological cognition differences of users, so as to optimize the charging pile product shape design.

Research on X-by-Wire Chassis Technology for Intelligent Driving of New Energy Vehicles

As China’s economy develops, new energy technologies and intelligent driving have become a trend in the automobile industry. The development of new energy vehicles has accelerated, with X-by-wire chassis technology becoming the core technology for intelligent driving. This technology includes steer-, brake-, shift-, and throttle-by-wire systems. It is not only the key technology for new energy vehicles but also an important support for promoting their sustainable development. This article presents an in-depth study on X-by-wire chassis technology in new energy vehicles and its basic working principle.

An Active Equalization Method for Cascade Utilization Lithium Battery Pack With Online Measurement of Electrochemical Impedance Spectroscopy

Abstract With the rapid development of new energy vehicles, a large number of lithium batteries have been produced, used and retired. The full utilization and safe use of the whole life cycle of the batteries have become a hot topic in the research field. Compared to brand new batteries, retired power batteries exhibit significant inconsistency and safety risks due to aging, thus necessitating effective battery equalization and safety monitoring methods. In this article, an active equalization method for cascade utilization lithium battery pack with online measurement of electrochemical impedance spectroscopy is proposed to actively equalize the retired battery pack and alleviate the inconsistency of the battery pack. Besides, the electrochemical impedance spectrum of the single battery is measured online without adding additional hardware circuit, so as to realize real-time safety monitoring and solve the safety problem of the battery. Finally, in order to verify the feasibility of the active equalization and electrochemical impedance spectrum monitoring scheme designed in this article, a simulation model is built based on MATLAB-Simulink platform. The simulation results show that the six batteries in the proposed scheme model complete the active equalization in about 710s, 850s and 740s respectively in the balance mode, charge mode and discharge mode, and the electrochemical impedance spectrum in the frequency range of 1-20KHz can be successfully measured.

New energy vehicles' technology innovation coordination strategy based on alliance negotiation under dual credit policy.

The development of new energy vehicles (NEVs) is one of the effective ways to alleviate carbon emissions, environmental pollution, and energy scarcity in the transportation sector. The Chinese government has innovatively proposed the "dual credit policy," but it is still a hot topic whether it can promote the NEVs' technological innovation. In this study, we construct game models and obtain the technological innovation strategies for NEVs under the dual credit policy, considering that the NEV supply chain contains one manufacturer and N suppliers. Further, we construct bargaining game models and study how to encourage manufacturers and suppliers to enhance technological innovation, realize supply chain coordination, and give the alliance strategy to maximize suppliers' profit. We found that the dual credit policy can effectively stimulate technological innovation, and the higher the credit price or technological innovation credit factor, the higher the technical level of NEVs. The findings could guide the government to adjust and revise the policy. Second, we found that the bargaining games could coordinate the NEV supply chain so that decentralized enterprises can achieve optimal technological innovation under centralized decision-making. Third, we found that suppliers can improve their profits by choosing a suitable alliance strategy under the manufacturer's different negotiating power.

The impact of consumer preferences on the evolution of competition in China's automobile market under the Dual Credit Policy-A density game based perspective.

The evolution of the automobile market is a macro-expression of the behavior of automakers' production decisions. This study examines the competitive environment between new energy vehicles (NEVs) and conventional fuel vehicles (CFVs) and develops a game-theoretical model incorporating consumer utility, automaker profit, and the competitive density of NEVs and CFVs. It aims to assess how consumers' preferences for vehicle range and smart features influence automakers' strategic decisions and the broader market evolution under the Dual Credit Policy. The findings indicate: (1) A low NEV credit price facilitates NEV market size growth, but this growth rate diminishes beyond a certain price threshold; (2) The lower the consumer's range preference, the higher NEV credit price can accelerate the development of new energy vehicles to their saturation value. However, when consumers in the market prioritize smart features, increasing the NEV credit price does not significantly influence the growth of NEV market size. (3) Higher consumer preferences for both range and smart features, combined with increased NEV credit prices, can synergistically accelerate the speed of the NEV market to reach the saturation value and also raise the saturation value of the scale of NEVs. And higher consumer range preference combined with increased NEV credit prices has a more significant effect on the promotion of NEV market size than the combined effect of higher consumer smart preference and increased NEV credit prices. The actual data of China's automobile market is used in the simulation of this model. The model and its simulation results effectively explain and reveal the evolutionary impacts of consumers' range and smart feature preference on the promotion of China's NEVs under the Dual Credit Policy to provide effective technological and theoretical support for the promotion of the sustainable development of China's NEV industry.

Optimized scheduling of energy-transport coupling systems considering uncertain traffic flow

To address energy and nature-related issues, the development of new energy vehicles has been rapid in recent years, gradually replacing traditional vehicles. This paper specifically focuses on the uncertainty of traffic flow for new energy vehicles within the transport system. We analyze the consequence of output from various equipment units in the energy system and their optimized scheduling. We construct an optimization scheduling model for integrating the electric-gas network and the transportation network, known as the energy-transport coupling system (ETCS). By incorporating the uncertainty of traffic flow and utilizing a data-driven approach to generate a set of uncertain traffic flow, we conduct a case study using an improved ETCS consisting of an IEEE-33 node distribution network, a 7-node natural gas network, and a 12-node transportation network to validate the scheduling method. The results demonstrate that the uncertainty of traffic flow does indeed affect the output of equipment units in the ETCS. Furthermore, through optimized scheduling, we can achieve positive interactions between different systems.

Energy-saving and CO2 reduction strategies for new energy vehicles based on the integration approach of voluntary advocacy and system dynamics.

The low-carbon development of new energy vehicles (NEVs) is critical to achieving the goals of carbon peaking and carbon neutrality. As such, combining gray model theory with system dynamics (SD-GM) and based on the bidirectional-cycle prediction theory, we propose a NEV annual average mileage algorithm considering the impact of the epidemic in China, taking private cars as an example. Then, combining a voluntary advocacy strategy (VA) with the SD-GM theory (VA-SD-GM integration), we establish an energy-saving and carbon-reduction management model. To evaluate the proposed algorithm, we performed a dynamic simulation. The results indicate that the enhanced green scenario enabled significant energy-saving and CO2 reduction performance but would cause side effects in the long term. Compared with the enhanced green scenario, the linkage mode reduced the impact of parking space tension, the number of NEV trips, and the intensification of traffic congestion by approximately 33%, 50%, and 34%, respectively. It effectively suppressed the continuous increase in side effects and had a synergistic effect of carbon reduction, energy conservation, congestion alleviation, and side-effect reduction. The study provides a theoretical basis for optimizing the energy-saving and CO2 reduction path of NEVs.

Research on vehicle speed prediction model based on traffic flow information fusion

Resource scarcity, global climate change and environmental pollution are increasingly constraining the development of the automotive industry. China proposes to reach the carbon peak by 2030; to reach the carbon neutral double carbon target by 2060 and gradually promote a green and low-carbon transition in energy development. The development of new energy vehicles is an important approach for China to realize its energy structure transformation in the automobile industry. HEV, as a transitional product of automobile energy transformation, has the advantages of both internal combustion engine vehicles and electric vehicles, which can improve the fuel efficiency and the emission problem of internal combustion engine vehicles and the range is longer compared to electric vehicles. One of the important aspects of HEV research is the design of whole vehicle energy management strategy based on the model predictions. Particularly, model-based predictive control is one of the mainstream energy management strategies nowadays, and its optimization effect is mainly subject to the model prediction accuracy. In this study, we constructed the ITS environment of a local roadway through simulation, compared the speed prediction effects of different speed prediction methods in different prediction time domains, and fused the historical information of vehicles (speed of the vehicle in front, distance, signal status, distance, and remaining time). It is found that N-BEATS is more effective in predicting vehicle speed in different prediction time domains, and the prediction accuracy of the speed prediction model is effectively improved after its fusion of multivariate information.

Research on the Impact of Inflation Reduction Act on the New Energy Vehicle Market in China and America

This study aims to explore in depth the impact of the Inflation Reduction Act on the new energy vehicle market in China and the United States. As a key solution to address environmental pollution and energy sustainability challenges, the development of new energy vehicles is influenced by both government policies and market factors. Inflation is a widely concerned issue that may have multiple impacts on the automotive market, but its specific effects have not been thoroughly studied. In this study, we first reviewed the current situation and trends of the new energy vehicle market, with a focus on analyzing the comparison between the Chinese and American markets. Subsequently, we delved into the background, main content, and legislative motivations of the Inflation Reduction Act. Through a comprehensive examination of market data and policy text analysis, we have conducted a detailed study of market changes before and after the implementation of the bill, with a particular focus on the trends in sales volume and price stability. Finally, we have drawn some preliminary conclusions that the inflation reduction bill may have complex impacts on the new energy vehicle market in China and the United States, including sales volume, price stability, corporate strategy, and technological innovation.

Analysis on the Development, Sales and Development of New Energy Vehicles by BYD Company

With the continuous improvement of the transportation system, the increasing demand for transportation tools by the people, and the increasing awareness of environmental protection among the global public, new energy vehicles have been widely favored, and the sales of new energy vehicles by BYD, which is committed to research on new energy vehicles, have also significantly increased in recent years. Based on the financial statements and other data released on BYD's official website, this paper conductes SWOT analysis, financial statement analysis, and marketing strategy analysis to study the overall operating status of the company and the development and sales of new energy vehicles, and proposed corresponding suggestions for its shortcomings. Research and analysis have found that due to BYD's overall good business performance in recent years, it has invested a large amount of funds and human resources in the research and development of new energy vehicles, sales, and gradually expanded overseas markets. In recent years, especially in the Chinese market, sales have continued to rise, and brand influence has further expanded.

Collaborative research on rural distributed photovoltaic development and new energy vehicles moving to the countryside under the background of dual carbon

In the context of dual carbon, there is a synergistic effect between the development of rural distributed photovoltaics and the introduction of new energy vehicles to the countryside. The synergistic development of the two is of great significance for promoting sustainable development and energy transformation. This paper aims to study how the coordinated development of rural distributed photovoltaic and new energy vehicles in the countryside can produce efficiency, what kind of efficiency it can produce under the background of dual carbon, and explore its collaborative development strategy. Based on the background environment of green development, this paper discusses the current situation, significance, policy effect, and difficulties of the collaborative development of rural distributed photovoltaic development and new energy vehicles in the countryside. On this basis, it analyzes the efficiency and mechanism of its collaborative development. The conclusion indicates that, under the dual carbon background, the development of distributed photovoltaics in rural areas and the deployment of new energy vehicles to rural areas are full of opportunities and challenges. The synergistic development of the two has the synergistic effects of sharing clean energy, complementary energy conservation and emission reduction, optimizing energy consumption structures, promoting economic development, increasing employment opportunities, and improving rural living quality. It is of great significance for achieving the dual-carbon goal. This article provides a reference for the development of distributed photovoltaics in rural areas and the coordinated development of new energy vehicles in rural areas under a dual-carbon background and has certain practical and theoretical significance.

An offloading method in new energy recharging based on GT-DQN

The utilization of green edge has emerged as a promising paradigm for the development of new energy vehicle (NEV). Nevertheless, the recharging of these vehicles poses a significant challenge in due to limited power resources and enormous transmission demands. A novel architecture based on Wifi-6 communication is proposed, which makes the most of heterogeneous edge nodes to achieve real-time processing and computation of tasks. To address the collaborative power resource optimization problem, the interference between different vehicles is considered, and the task offloading is optimized. In particular, the power contention among recharging clusters is modeled as an exact game and a task offloading strategy model is proposed jointly with the Deep Q-Network (DQN) algorithm, which is employed by a secondary application. Thereby, the recharging efficiency and task offloading computation are optimized and improved. Results indicate that the total resource consumption is favorably improved with this architecture and algorithm and the Nash equilibrium is also demonstrated.

High Response and Selectivity of the SnO2 Nanobox Gas Sensor for Ethyl Methyl Carbonate Leakage Detection in a Lithium-Ion battery.

It is well-known that metal-oxide semiconductors (MOS) have significant gas sensing activity and are widely used in harmful gas monitoring in various environments. With the rapid development of new energy vehicles, the monitoring of the gas composition and concentration in LIB has become an effective way to avoid safety problems. However, the study of typical electrolyte solvent detection, such as EMC and DMC detection by the MOS sensor, is still in its infancy. Here, the SnO2 nanoboxes are synthesized by coordination dissolution using cubic Cu2O as the template, and its sensor shows high sensitivity (0.27 to 10 ppb EMC), excellent response (32.46 to 20 ppm EMC), and superior selectivity. Additionally, the sensor possesses fast and clear response to lithium-ion battery (LIB) leakage simulation tests, suggesting that it should be a promising candidate for LIB safety monitors. These sensing performances are attributed to large specific surface area, small grain size, and high size/thickness ratio of nanoboxes. More importantly, DFT calculations confirm the adsorption of EMC on the surface of the SnO2 nanoboxes, and the EMC decomposition processes catalyzed by SnO2 are deduced by in situ FTIR and GC-MS.

Sustaining the advancement of new energy vehicles in the post-subsidy era: Carbon quota mechanisms and subsidy mechanisms for recycling of used batteries

The termination of purchase subsidies and the maladaptation of the dual credit policy (DCP) are likely to slow the development of new energy vehicles (NEVs) in China. To explore new drivers that could meet the government's 2035 NEV market penetration targets, this study devises carbon quota mechanisms and used battery recycling subsidy mechanisms, embedding these in a system dynamics model that encompasses societal landscape, industrial policies, and subsystems of NEVs and traditional fuel vehicles. Through simulation, we find that: (1) Carbon trading policy (CTP) is more advantageous than DCP, and involving consumers as primary participants in carbon trading during vehicle use enhances NEV adoption and reduces carbon emissions in production and consumption; (2) Subsidies for ladder utilization of used batteries are more effective than those for their decomposition and regeneration; (3) CTP and used battery recycling subsidies show strong synergistic effects with noticeable differences and complementarity in their static and dynamic impacts. Our study addresses a possible research gap by comparing carbon quota mechanisms and suggests new policies for battery retirement issues.

A Study on the Statistical Measurement of Chinas Modernization Based on the Electric Vehicle Industry Chain Development

According to the basic characteristics of a socialist modernization state in China, Chinas modernization aims for a harmonious coexistence between humans and nature. China strives to achieve carbon peaking by 2030. Therefore, this article mainly focuses on the connection between the electric vehicle industry chain and the Chinese-style modernization, as well as an empirical analysis of Chinas 2030 carbon peaking goal. This article divides Chinas green modernization measurement into two parts. In the first part, Chinas green modernization can be measured by the level of modernization in each province. The article uses PCA (Principal Component Analysis) to reduce data dimensions and analyze correlations among selected indicators. Then, the Six-factor TOPSIS-Entropy Method is utilized for weight evaluation to calculate the level of modernization in different provinces, resulting in an overall domestic modernization level of 65.741%. In the second part, an empirical analysis of Chinas commitment to achieving carbon peaking by 2030 is conducted. An improved SIRD-NM dynamic model is employed to predict the number of new energy vehicles, and then the feasibility of achieving the commitment is studied. The results indicate that the contribution of the development of new energy vehicles to carbon peaking reaches 5.42%. China has a high feasibility of achieving carbon peaking by 2030.