Abstract

This paper focuses on the principal problems in the actual transaction of decommissioned power batteries such as the asymmetry of information, huge risk and difficult is sues such as recovery and trace. And constructed a new energy vehicle decommissioned power battery recycling platform based on the big data technology. Integrated characteristics of big data information, this paper analyzes the operating mechanism of the Big-Data-Based power battery recovery platform. The functional module on this platform is designed and investigated for the functional requirements of users and shared in formation based on big data. Based on the analysis of traffic big data, a traction battery dangerous goods transportation optimization system is established by using Baidu map application program interface (API). The improved ant algorithm was used to obtain the shortest path model and decrease the transportation costs and risks, besides, it boosts the value of information resources maximum and gives impetus to the power battery recycling industrial transformation and upgrading.

Highlights

  • In the face of the increasingly tense energy crisis and environmental pressure, the global automobile production powers have launched the new energy vehicle strategy, and the electric vehicle industry has entered a stage of rapid development to reduce environmental pollution and energy consumption, clean electrochemical energy production is a serious consideration [1]

  • The route planning and scheduling effect of dangerous goods transport vehicles have a great impact on the distribution safety, cost, speed and efficiency, and have become one of the factors restricting the development of the power battery recovery industry

  • CONCLUDING REMARKS The development of big data technology has brought opportunities to the power battery recovery industry. It has become the trend of information development to establish a new energy vehicle retired power battery dangerous goods transportation platform based on big data

Read more

Summary

INTRODUCTION

In the face of the increasingly tense energy crisis and environmental pressure, the global automobile production powers have launched the new energy vehicle strategy, and the electric vehicle industry has entered a stage of rapid development to reduce environmental pollution and energy consumption, clean electrochemical energy production is a serious consideration [1]. The power battery recovery platform is no longer just to meet the needs of waste production units, comprehensive utilization enterprises and logistics enterprises, but based on the height of openness, diversity and sharing, according to different user groups with different needs, to open data applications with different requirements, integrating management departments, environmental protection departments, safety supervision departments, transportation departments, tax departments, statistical departments, insurance service enterprises, etc. Since it has provided various heterogeneous services in the form of a platform to realize data resource sharing, equipment resource optimization and transaction decision optimization

DESIGN OF RECOVERY AND TRACEABILITY PIPELINE MODULE BASED ON BIG DATA
BASIC FUNCTION PIPELINE
TRANSPORTATION PATH OPTIMIZATION OF POWER BATTERY BASED ON BIG DATA
MODEL ESTABLISHMENT
MODEL SOLUTION
BATTERY RECOVERY ANALYSIS OF A RECYCLING
Findings
CONCLUDING REMARKS
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.