Collaborative optimization algorithm for electric vehicle industry chain based on regional economic development needs
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Man Lu
and
Jianfei Sun
Abstract
With the development of the economy, many regions have experienced a slowdown in economic growth. In order to promote the development of the electric vehicle (EV) industry, the country has also begun to introduce various policies to encourage the development of the EV industry. In this context, many local governments have begun to introduce policies and measures related to the development of the EV industry, such as increasing land use for the development of the EV industry and increasing support for the new energy automobile industry. These policy measures have played a positive role in promoting the development of the EV industry, but there are also some problems. For example, when many local governments introduce policies to support the development of the new energy automobile industry, their support for the EV industry is not significant. This article studied the collaborative optimization of the EV industry chain in response to issues such as insufficient technical strength, imbalanced supply-demand relationship, and insufficient downstream service chain capabilities in the EV industry chain. This article analyzed the composition of the EV industry chain and established an EV industry chain model to address these issues. This article used collaborative optimization algorithms to analyze the production volume of EVs in the EV industry chain, as well as the comprehensive efficiency, pure technical efficiency, and scale efficiency values of upstream, midstream, and downstream. Through experimental analysis, it was found that the comprehensive efficiency value of the upstream of the EV industry chain after using the collaborative optimization algorithm was 0.0792 higher than before. The research results of this article have provided reference significance for the analysis of collaborative optimization algorithms in other fields.
Funding source: Young Doctoral Research Initiation Fund Project of Harbin University
Award Identifier / Grant number: HUDF2021103
Funding source: Heilongjiang Provincial Education Planning Project
Award Identifier / Grant number: GJB1421383
Funding source: Heilongjiang Arts and Sciences Planning Project(2022B033);Heilongjiang Provincial Education and Teaching Reform Project
Award Identifier / Grant number: SJGY20210702
Funding source: Heilongjiang Provincial Education Planning Project
Award Identifier / Grant number: GBD1317046
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Research ethics: This manuscript does not violate and does not involve moral and ethical statement. Ethical approval for this study and written informed consent from the participants of the study were not required in accordance with local legislation and national guidelines.
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Author contributions: All authors contribute this study. Man Lu: Work concept or design. Jianfei Sun: Methodology.
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Competing interests: The authors declare that there is no conflict of interest with any financial organizations regarding the material reported in this manuscript.
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Research funding: This work was supported by Heilongjiang Arts and Sciences Planning Project (2022B033); Heilongjiang Provincial Education and Teaching Reform Project (SJGY20210702); Heilongjiang Provincial Education Planning Project (GJB1421383); Heilongjiang Provincial Education Planning Project (GBD1317046); Young Doctoral Research Initiation Fund Project of Harbin University (HUDF2021103).
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Data availability: Data is available upon reasonable request.
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Articles in the same Issue
- Frontmatter
- Special Issue: Energy Storage and Management System for Electric Vehicles; Guest Editors: Achyut Shankar and Zahid Akhtar
- Optimization model of battery electric vehicle charging facility layout towards embedded system and data mining algorithm
- Investigation on voltage stability evaluation indicators and algorithms for power systems based on neural network algorithms
- Collaborative optimization algorithm for electric vehicle industry chain based on regional economic development needs
- Distributed generation aggregators considering low-carbon credits optimize dispatch strategies
- CFD simulation analysis optimization and experimental verification of heat dissipation problem of electric vehicle motor controller
- Logistics distribution route optimization of electric vehicles based on distributed intelligent system
- Analysis of green energy regeneration system for Electric Vehicles and Re estimation of carbon emissions in international trade based on evolutionary algorithms
- Regular Articles
- Location of faults based on deep learning with feature selection for meter placement in distribution power grids
- A novel computational technique to analyse the corona generated ionized field environment of EHV/UHV DC transmission lines
- Improving protection of compensated transmission line using IoT enabled adaptive auto reclosing scheme
- A new optimized ZV-ZCS non-isolated high-gain boost converter for renewable energy systems
- Performance of PMU in an electric distribution grid during transients
