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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2407.10611 |
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| _version_ | 1866917722216988672 |
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| author | Jin, Tao Jiang, Yulian Liu, Xingwen |
| author_facet | Jin, Tao Jiang, Yulian Liu, Xingwen |
| contents | To facilitate new energy vehicles (NEVs), we construct a game model between vehicle manufacturers and consumers to explore their interactions. In the model, we propose the Expectation Supply-Demand Game (ESDG), construct the consumer purchasing decision-making process with feedback and analyse the stability of the system under different feedback factors. We processes the data of the model in numerical simulation through Min-Max normalisation and predicts the development of NEVs. The results show that: (1) An evolutionary stabilisation strategy (ESS) emerges in the evolutionary game model with the introduction of feedback. (2) The Min-Max normalisation method is conducive to the accuracy of the model. (3) Excessive advertising and marketing may cause consumer boredom. (4) The establishment of an appropriate battery compensation and replacement insurance is conducive to the development of NEVs. (5) The production and sales ratio of China's NEVs is predicted to reach 37.2\% and 36.9\% respectively in 2024. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_10611 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Exploring incentive strategies and predicting development trends for new energy vehicles Jin, Tao Jiang, Yulian Liu, Xingwen Numerical Analysis To facilitate new energy vehicles (NEVs), we construct a game model between vehicle manufacturers and consumers to explore their interactions. In the model, we propose the Expectation Supply-Demand Game (ESDG), construct the consumer purchasing decision-making process with feedback and analyse the stability of the system under different feedback factors. We processes the data of the model in numerical simulation through Min-Max normalisation and predicts the development of NEVs. The results show that: (1) An evolutionary stabilisation strategy (ESS) emerges in the evolutionary game model with the introduction of feedback. (2) The Min-Max normalisation method is conducive to the accuracy of the model. (3) Excessive advertising and marketing may cause consumer boredom. (4) The establishment of an appropriate battery compensation and replacement insurance is conducive to the development of NEVs. (5) The production and sales ratio of China's NEVs is predicted to reach 37.2\% and 36.9\% respectively in 2024. |
| title | Exploring incentive strategies and predicting development trends for new energy vehicles |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2407.10611 |