| Intelligent connected cars are equipped with advanced on-board sensors,controllers and other devices,and integrate modern communication and network technologies to realize intelligent information exchange and sharing between cars and X(cars,roads,people,clouds,etc.),and have a complex environment A new generation of cars with functions such as perception,intelligent decision-making,and collaborative control.Intelligent connected cars can bring us safer,more energy-saving,more environmentally friendly,and more convenient travel modes and comprehensive solutions.It is an internationally recognized future automotive development direction and research focus.With the gradual maturation and improvement of technologies,regulations and related infrastructures,intelligent connected vehicles are going to enter the stage of product introduction and marketization.In comparison with traditional automotive powerhouses such as the United States,Europe,Japan,and South Korea,in our cou ntry,the information interaction technologies of the intelligent connected vehicle are relatively mature,and there are partial advantages in the technological infrastructures.Nevertheless,China still faces issues such as lack of certain core technologi es,ambiguity of technical structures and directions,as well as unclear benefits of technical application.These issues require technical analysis and application evaluation.This thesis takes the intelligent connected vehicle as the research object,util izes global patent big data,industrial data,business application data and other data resources as the basis,considers the development and application of the core technologies of intelligent connected vehicles as the overall context,and discusses the frontiers and hot topics as well as the trajectories of the core technologies of intelligent connected vehicles.Our discussion also utilizes the key technology patents of the major corporations to analyze and evaluate the technological economic and ecological benefits of different products and aim to explore the key technology development characteristics and product application of intelligent connected vehicles.The research content includes the following aspects:The study examines the intelligent connected vehicles in the context of patent landscape,constructs patent maps of the core technologies of intelligent connected vehicles based on patent big data,and on this basis,uses a new generation of information visualization methodologies to build a scienti fic knowledge map of intelligent connected vehicles and studies the technological frontiers and hotspots,the trajectories and evolution rules of the core technologies.The study primarily focuses on utilizing the global patent data of intelligent connecte d vehicles,in the fields such as vehicle technologies,information interaction technologies;and using cluster analysis,time series analysis,regression analysis and correlation analysis to draw patent maps related to patent status,competition status an d core technologies.Accordingly,via a multidimensional analysis considering both temporal and spatial aspects,the study aims to draw conclusions directed towards-e.g.,the industrial development trends,competition status,innovation capabilities and development of core technologies of the intelligent connected vehicles.On the basis of the patent map of core technologies,the study has holistically applied co-occurrence analysis,citation analysis,co-citation analysis and other methods,with the assistance of knowledge map tools such as Cite Space,to identify the technical themes and those patented technologies of intelligent connected vehicles with high potentials in different periods,detect the frontiers and hotspot changes in the key technical fields of intelligent connected vehicles,and demonstrate,via the connection network among patent entities,the evolution pathways and rules of the key technologies of intelligent connected vehicles.The study analyzes the patent deployment of intelligent connected vehicle companies for key technologies,establishes a technical and economic evaluation system for intelligent connected vehicle products,and uses fuzzy synthetic evaluation and data envelopment methods to conduct technical and economic analysis on the representative models of eight companies including GM and BYD.From the perspective of patents,the study assesses the key technology components of intelligent connected vehicle companies such as environment perception technologies,decision-making control technologies,V2 X communication technology,cloud platform and big data technologies,and identifies the patent deployment focuses of the key technologies of different intelligent connected vehicle companies;the study builds a technical evaluation system of intelligent connected vehicles,selects representative vehicle models of different companies for fuzzy synthetic evaluation,explores the connotation of the evaluation results,and combines the patented technologies to put forward beneficial su ggestions for the technological development of intelligent connected vehicle industry in China;the study elaborates an economical evaluation model of the intelligent connected vehicles from the economic perspective of intelligent connected vehicles,const ructs the evaluation system of the intelligent connected,uses data envelopment analysis to evaluate representative vehicle models of different companies,and reveals the main factors that determine their economic performance from the company’s evaluation results and patented technologies.On the basis of key technology patents,this study deduces the technological development route of intelligent connected vehicle companies,discussed the specific impacts of different intelligent levels of vehicles on energy,resource consumption and environment with reference to the technological development route,and conducts analysis of the key patents of Toyota and GAC over the years to elaborate its technical development route and divide the vehicles into different te chnical levels.To conduct target selection and boundary delineation for key enterprise technologies and their patents,the study takes GAC Toyota i A5 as the research object to establish a mathematical evaluation model for resource depletion and environmen tal impact in the four stages from raw material acquisition,manufacturing and assembly,operation and use to scrap recycling.The study further determines the list of materials,processes,and energy consumption involved in each stage,establishes a Ga Bi model,calculates a list of mineral resource consumption,energy consumption,and environmental emissions results,and uses the CML2001 evaluation method to process,analyze and evaluate the calculation results;combines Toyota and GAC’s key patents and technology development routes for each technology level,assesses and predicts the differences in the applications of smart devices and key technologies in different smart level vehicles,and compares and analyzes the resource consumption,energy depletion and environmental impact at each stage of the life cycle of L1-L5 intelligent connected vehicles to obtain the changes of trends as to the impact of vehicle technology intelligence and connectivity on energy consumption and environment.The research results of this thesis include the key technical characteristics and evolution rules of intelligent connected vehicles revealed from the perspective of patents,as well as the evaluation results of the product technical economy,energy-saving and emission reduction performance based on the analysis and quantitative calculation of key technology patents of intelligent connected vehicle companies.The research paths and methods of assisting industrial key technology development layouts and applications with patent a nalysis provide important theoretical basis and data support for intelligent connected vehicle technology route planning,policy formulation,technological innovation of related enterprises,and new product development. |