Mobility Engineer 2030 FISITA White Paper

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Mobility Engineer 2030FISITA White Paper

Mobility Engineer 2030 – FISITA White PaperTable of ContentsForeword11Introduction22How Automotive is ChangingFour disruptionsRedefinition of automobilesAttributes of a modern mobility device44453The Demands of IndustryTechnical and interdisciplinary skill requirementsProject, process management and soft skills requirementsNew paradigms66884Examples of Current Best PracticeRWTH Aachen University, GermanyUniversity of Bath, United KingdomDeakin University, AustraliaUniversity of Michigan, USAUniversity of Piteşti, RomaniaUniversity of Tsinghua, China101011121314155A New Educational ConceptDesigning the individual curriculumUniversity educationEducation and training on the jobMaximised learning and virtual education delivery16171818186ConclusionClosing thoughts from the FISITA President20217Contributors and AcknowledgementsReferencesContributors2222238About FISITAVisionMission242424

Mobility Engineer 2030 – FISITA White PaperForewordMobility Engineer 2030 is a collaborative initiative, led by FISITA,utilising the organisation’s unique, international status andrelationships between its key industry and academic stakeholdersto consider how mobility engineers of the future can be besteducated and prepared to deliver the skills-sets that the fastevolving ‘mobility services’ industry will require.This year-long initiative, which has drawn contributions from FISITA CorporateMembers, the FISITA Technical and Education Committees and the AcademicAdvisory Board, is a detailed consideration of a complex challenge at a timewhen the industry landscape is changing fast, and forever.previous generations, it is clear that how industry and academia engageis critical to the process of creating and sustaining sufficiently capableand ‘workplace ready’ engineers.Mobility Engineer 2030 has been created as a mechanism of establishingan initial perspective and outlook over this important and evolvinglandscape, to stimulate discussion and the continued process of positiveengagement between our industry’s technical leaders, academia andother stakeholders, in order to create solutions to the benefit of theinternational engineering community, industry and society.This period will undoubtedly be recognised in history as the mostsignificant in technological terms since the industry transformedtransportation needs over one-hundred years ago with the introductionof the mass production automobile.In its first iteration, the Mobility Engineer 2030 initiative has gatheredopinion from industry and academic leaders within the internationalFISITA community and begun the process of establishing an on-goingdialogue that will support a continued collaborative approach toevolving academic and industry approaches in this critical area.The pace at which this change is gathering momentum dictates whatconsideration is given to the key engineering disciplines of futuremobility. These will continue to enable the engineers of tomorrow todevelop and deliver enhanced product innovation over the long-term.As this report becomes widely available, FISITA welcomes theengagement of other contributors as this initiative is intended to becomean on-going collaborative, international study of engineering capabilityand expectation.With connectivity, autonomy, propulsion, safety and security nowas important to the next phase of our industry development as thetraditional mechanical and electrical engineering disciplines have been toEngineers create solutions, FISITA continues to support them to do so.Chris MasonChief ExecutiveFISITADr.-Ing Karl SiebertzHead of External Alliances EuropeFord Research & Advanced EngineeringChair Mobility Engineer 2030 Working Group1

Mobility Engineer 2030 – FISITA White Paper1. Introduction2

Mobility Engineer 2030 – FISITA White PaperThe Mobility Engineer 2030 initiative aims to identify the skillsthat mobility engineers will require in 2030 as a first step in along-term process of engagement, evaluation and feedback.FISITA holds a unique, international position which connectsengineering societies, industry and academia in a global networkand each of these stakeholders have a clear, vested interest inhow future mobility engineers are educated to deliver against thefuture industry needs:n Engineering societies within the international FISITA communityrepresent the interests of 200,000 engineers working in the traditionalautomotive and emerging mobility arena.n Industry has a direct need to continually recruit new engineers and planto succeed current employees with appropriately skilled engineers.n Academia develops talent, feeds the employment market and providessignificant research capability and support.This paper outlines how the automotive sector is changing, beforeconsidering the evolving needs of industry, drawing on input from CorporateMembers of FISITA and engineering society members through the FISITAIndustry Committee and Technical Committee.The paper then explores how the role of education can adapt, outliningthe views of the FISITA Academic Advisory Board (AAB) and EducationCommittee, both of which consist of leading academics and scientists fromworld-class universities, extending a reach across three continents. The inputof the AAB and FISITA Education Committee provides an excellent insightinto current education models, best practice and future considerations.The report then proposes a concept for the future by combining input fromthe multiple stakeholders aligned through FISITA; the inaugural MobilityEngineer 2030 White Paper aims to support further progressive discussions,considerations and thought leadership as industry and academia preparesthe environment for the next generation of our industry’s technologists; the‘mobility engineers’.As no single stakeholder would be able to consider all aspects andrequirements, the Mobility Engineer 2030 initiative sourced input andfeedback from all three groups.3

Mobility Engineer 2030 – FISITA White Paper2. How Automotive is ChangingCurrent developments in mobility engineering are increasinglyvolatile. Many things happen simultaneously and it is crucialto maintain the overview. In this section we would like to offerthree independent inputs that might be able to provide someinsight. There is no aim to provide a complete picture, however,a discussion about future education of engineers does require avision about the future technology demand.Four Disruptions11. Electric traction: eco-system including non-automotive infrastructure. Thisincludes renewable energies and smart grids.2. Automated driving: robotisation with high level of safety/security. Thisincludes artificial intelligence, machine learning and formal methods toprovide the required level of safety.3. Connected cars: eco-system with telco technologies and business model.This includes standardisation of protocols, bandwidth, cybersecurity, etc.4. Mobility on demand: new services with partnership with publicauthorities (city, etc ). Access versus ownership, new business models,diverse partnerships.Redefinition of automobiles2ENERGY REVOLUTIONINFORMATION SILOINTELLIGENT TERMINALHUMANS DRIVE VEHICLESAUTONOMOUS DRIVINGPROMOTIONPROMOTIONCONNECTIVITY REVOLUTIONNEW MANUFACTURINGMETHODSAUTOMOTIVE MANUFACTURINGINTELLIGENT MANUFACTURINGRESHAPE THEAUTOMOTIVE INDUSTRYENERGY DISSIPATION MACHINEMOBILE ENERGYNEW DEVELOPMENTMETHODSOWN TO USECAR SHARINGTOOL FOR MOVEMENTTRANSPORTATION SERVICEINTELLIGENCE REVOLUTIONNEW CORETECHNOLOGIESNEW AUTOMOTIVE PRODUCTSNEW USAGEMETHODSNEW MAINTENANCEMETHODSNEWINFRASTRUCTURENEW MOBILITY ECOSYSTEMThree revolutions have brought six revolutionary changes to the automotiveindustry. Automobiles will transform into mobile and connected terminalsfrom simple tools for movement.1.Renault2.Tsinghua Automotive Strategy Research Institute, TASRI4

Mobility Engineer 2030 – FISITA White PaperACCUMULATIONBIG DATA OF AUTOMOBILE MANUFACTURERSMUTUAL SUPPORTBIG DATA OF VEHICLE USER-ENDUSER DATAFEEDBACKVEHICLE DATABIG DATA OF AUTOMOBILE MANUFACTURERSMUTUAL SUPPORTBIG DATA OF VEHICLE USER-ENDFEEDBACKIntelligentconnected vehicle valuechainUSERDATAAddedvalueTraditional vehicle value chainHighDESIGN ERVICEMANUFACTURINGPRODUCTAND ASSEMBLYSALES vehicle value chainIntelligent connectedVEHICLE DATATRAFFIC DATAOTHER DATAEXPLORATION OF INNOVATIVE BUSINESS MODELSFUTURE MOBILITYNEW USAGEFOSTERS INFINITEMETHODSPOSSIBILITIESTraditional vehicle value chainThe wholeautomotive industrial chain has undergone substantial changesDESIGN ANDMANUFACTURINGPRODUCTdue toDEVELOPMENTconnectivity and bigSUPPLYdata.CHAINAND ASSEMBLYSALESFUTURE MOBILITYFOSTERS INFINITEPOSSIBILITIESNEW USAGEMETHODSAFTERMARKETCore: focus on the opening of big data of the whole automotive industrialSERVICEchain and value excavation.Support:ECOSYSTEMcloud platform big data artificial intelligence.AUTOMOTIVE MOBILITYLowINFORMATIONCOMMUNICATIONTRADITIONAL AUTOMOBILE ENTERPRISESSUPPLIERSNATIONAL/LOCAL EMsEXPANDBUSINESSDEALERSTRADITIONAL AUTOMOBILE ENTERPRISES?PLATFORM ENTERPRISESSUPPLIERSNATIONAL/LOCAL YWITHOUT BORDERTECHNOLOGYCOMPANIES(HARDWARE& SOFTWARE)?AUTOMOTIVE MOBILITY ECOSYSTEM?TECHNOLOGYCOMPANIES(HARDWARESERVICE& SOFTWARE)PROVIDERS?INTERNETINDUSTRYWITHOUT ERSPLATFORM ENTERPRISESAutomotive Industrial Pattern in the Future: Multipartite Participation andCooperative Competition. In case of such changes, the automotive industryhas transformed from the original vertical industrial chain composed of OEMs,suppliers and dealers into an ecosystem without border with multipartiteparticipation, bringing huge opportunities.Attributes of a Modern Mobility Device3Mechanics: Highly optimised construction, weight and cost-effective.Complexity management to cover various demands, e.g. powertrain, bodystyle or level of equipment. Mix of high- and low-volume manufacturingtechniques, including personalisation. Industry 4.0.3.OTHER DATAEXPLORATION OF INNOVATIVE BUSINESS MODELSACCUMULATIONHighTRAFFIC DATACONTENTPROVIDERSElectrics and Electronics (including automated driving): Increasingproportion in the value chain. Short development cycles and x-industryinnovations. Increasing number of interfaces and industrial standards. Newplayers entering the automotive domain.Software (including v2x and automated driving): Increasing proportionin the value chain. Many interfaces and strategic alliances. Sophisticatedalgorithms, e.g. AI, machine learning, sensor fusion, model-based controls.Substantial effort on quality engineering.Device and Environment (including business models): Mixed modaltransportation. Access vs. ownership. Total customer experience vs. vehicleperformance. Smart vehicles for a smart world.Ford5

Mobility Engineer 2030 – FISITA White Paper3. The Demands of IndustryIn view of the fundamental changes in the automotive industrydriven by digitalisation, electrification and societal trends,the Mobility Engineer 2030 initiative asked FISITA’s CorporateMembers two fundamental questions:1. What type of engineers will your organisation need in the future?2. What are the future industry requirements in terms of engineeringexpertise, skills and abilities?Their collated response can be summarised as:1. The engineering landscape in the automotive industry will broadenin scope – in addition to mechanical engineers, companies will be insignificantly greater need of engineers from IT and associated ‘newtechnology’ disciplines.2. Besides specialists, the industry will require generalists with capabilityacross different engineering disciplines that link the various engineeringfields, and engineering collaboration across multiple disciplines willbecome critical success factors for engineering in the future.3. In parallel, the skillset of engineers will expand from predominantlytechnical requirements to more process-related skills, such as agile projectmanagement, communication skills, operating in virtual environments,and flexible organisations will become important competencies in theengineering role profile.6Technical and Interdisciplinary Skill RequirementsFeedback from FISITA Corporate Members shows that traditional science,technology, engineering and mathematics (STEM) skills will remain animportant part of the skills mix. Respondents unanimously confirmed thatthe ‘classical’ automotive engineer with profound knowledge in mechanicalengineering, mechatronics and materials will still be necessary.However, in the context of electrified, connected, autonomous andshared mobility, the qualification profile of a ‘universal’ engineer with adeeper understanding of other engineering disciplines will gain increasingimportance.In general terms, companies anticipate a shift in requirement from a puremechanical engineer profile towards a mixture of mechanical and electronicsor mechanical and software engineer profile.Respondents noted, for example, that a mechanical engineer must havea robust knowledge of electrical/electronical systems to lead detaileddiscussions with their counterparts in cross-functional teams. They alsohighlighted a growing need for engineering specialists in the fields of datanetworks, electrical engineering, software engineering, software architectureand systems, digital signal processing, and in the increasingly importanttechnology areas of cybersecurity, artificial intelligence, and robotics.Several respondents prioritised systems engineering and the increasingcomplexity of vehicles as crucial in engineering discipline terms, and alreadybecoming a significantly important area. Industry experts see simulation,virtual testing, virtual prototyping and virtual reality as areas with disruptivepotential in the automotive engineering process. A rapid increase in modelbased development, hand-in-hand with the ability to transfer simulationresults into reality, is seen as essential to developing advanced productsrapidly.

Mobility Engineer 2030 – FISITA White PaperFigure 1: The surrounding environment of the future automotive/mobility industryCONNECTIVITY/CLOUDSECURITYFLOW MANAGEMENTMOBILITY AS A SERVICEFLEETMANAGEMENTLIQUID &GASEOUS FUELSSAFETYENERGY/CHARGING STATIONSAUTONOMOUS DRIVINGOPERATING The evolution of Industry 4.0 (automation and data exchange inmanufacturing technologies) and the growing availability of big data,enabling the development of predictive models, are challenging theautomotive engineering community to establish competencies in gathering,analysing and working with the large volumes of data being generated bymachines and processes. Engineers who understand and think in processterms, rather than silo specialists, are required to meet this challenge.PARKINGMANAGEMENTINSURANCESMARTGRIDIn view of the increasing role of simulation and the trend towards remoteengineering, industry contributors also highlight a growing need forexpertise in ‘manufacturability’. The ability to recognise key factors thatimpact the manufacturing process very early in the design process is and willcontinue to be an important asset for engineers, as development cycles getshorter and products become increasingly complex. In this context, detailedknowledge of the appropriate manufacturing processes, techniques andtools will be crucial.It is therefore suggested that a new engineering species of ‘data scientists’who are experts in analysing complex data, will collaborate with processexperts to quickly make reliable predictions.7

Mobility Engineer 2030 – FISITA White PaperProject, Process Management and Soft Skills RequirementsAs the car evolves and incorporates more consumer electronics devices witha development emphasis on in-car experiences, traditional engineers mustnow also deliver other ‘non-engineering’ capabilities, such as knowledgein market and societal trends, in user experience and human factors. Withtechnology evolving faster and faster, companies stress the need for visionarythinking and an out-of-the-box attitude to find innovative and creativesolutions quickly.In the evermore connected global environment, work-sharing withinworldwide R&D networks is required, with companies expecting engineers tohave strong project management skills and the flexibility to work in differentlocations on different projects.In this context, communication skills are considered an increasinglyimportant requirement. For example, engineers require presentation skillsin virtual environments for collaborative team-working, project reviews,reporting and other virtual and actual team-based activities. Engineers alsorequire an increasing capability of co-designing in virtual team environments,while collaborating with colleagues in remote locations. Soft skills, such associal/cultural competences, an appreciation of diversity, and language skills,will all support a successful engineer of the future.In the future, engineers will work in even more agile and cross-functionalenvironments than today, meaning companies will increasingly valueopen-mindedness and a curiosity for new ways of collaborating in neworganisational structures and new team-based working models. Working inso-called ‘swarm organisations’ is likely to become part of the daily routine,a new style of work discipline which is considered to be an important andprogressive management skill.Broader, interdisciplinary knowhow and flexibility are seen as key ingredientsof the future engineers’ skill set. The ‘ideal’ engineer will be able to adoptnew knowledge and understand new technologies quickly and be able todevelop non-standard solutions.In the context of fast changes in technology, legal and regulatoryrequirements, emission laws, differing customers and needs, combined withinternational social trends and complexities, engineers need to be capableof collaborating with multiple groups of colleagues of differing engineeringdisciplines, and working in cross-functional teams, while applying virtual toolsacross different working locations.8New ParadigmsMobility engineering, more than many other professions, exists in a state offlux between traditional and understood forms of engineering and those thatare yet to be fully established in a changing environment. Specialist versusgeneralist, mechanics versus electronics, hardware versus software, disruptionversus refinement, complexity versus simplicity, exclusivity versus massproduction, manual versus automated, to reference just a few factors.As a result, potential students could experience a complex and challengingenvironment. This is understandable and therefore short-term delivery ofclarity and an achievable and attractive curriculum is important. However,the academic community should consider two paradigm shifts to preparestudents for a career in mobility engineering:n Paradigm 1: It becomes questionable whether it is achievable toattempt to teach the most important subjects associated with ‘mobility’ ina single curriculum.While there may be opportunity to educate a generalist with shallowknowledge in the relevant areas, it would be challenging to reach thelevels of knowledge required for competitive R&D experts in mechanical,electrical and software engineering in one single education, as expertswill be needed to operate to high standards of competency in manydifferent disciplines.n Paradigm 2: The concept of university education preparing engineersfor many years of success in their profession is becoming challenged.Engineers who were educated in the 1980s and 1990s will not havethe knowledgebase to deliver against future mobility engineeringrequirements, without some form of further personal development.Therefore, the same will be true of today’s engineers in 2030 and beyond.There is no reason to believe that any education can last long enough tocarry someone through their entire professional life, continued professionaldevelopment is key to the continued technical relevance of a career-longengineer. An investment in ‘career learning’ would be a positive approachfor all engineering foundations that need to be laid at university. Closecooperation between academia and industry in the on-going educationalsupport of engineers throughout their career journey can become a successfactor for all in continuous personal and industrial development, and not justapplicable to research.

Mobility Engineer 2030 – FISITA White Paper9

Mobility Engineer 2030 – FISITA White Paper4. Examples of Current Best PracticeOur 2020 Engineers are already in the current education system.It is therefore interesting to compare current education systemsand potentially learn from good examples. This section containsinsight and feedback contributed by academics from AachenUniversity, University of Bath, Deakin University, University ofPitesti, University of Michigan and Tsinghua University – all areacademic stakeholders with FISITA.RWTH Aachen University, GermanyA solid technical education in mechanical engineering continues tobe the backbone of RWTH Aachen. The University used to only offerthe Dipl. -Ing. degree in engineering sciences, which is comparable toan MSc. While only a few students stop at BSc level, approximately 1015% continue beyond MSc and progress with a PhD. There is a hugeselection of around eighty elective courses in mechanical engineeringbut currently fewer options in electrical engineering and computerscience, which still provide substantial variety for an individualcurriculum.Industrial internships are mandatory with a 20-week requirementand a stringent curriculum, requiring students to work in differentareas, which is typically achieved by working in different companies.Students need to organise the internship themselves, which thentakes place at different phases of the course. A basic internshipis required prior to the first semester, while the last internship iscompleted in the middle or even close to the final BSc exams.Most of the University’s institutes offer positions as student assistants,which is a wonderful opportunity for any science-oriented studentas they become part of a research team, led by a PhD student. Realresearch helps to understand the world of science and some ofthe teams are mixed, with researchers from different disciplines.Final projects, in which substantial research work is conducted, aremandatory for BSc and MSc.10Aachen University has very good relationships with industry,resulting in substantial research funding and a significant network ofconnections. Students can profit from this network and prepare theirtransition to industry while working on their MSc or PhD theses.Strong technical education, internships and application-orientedresearch have been in place since the 1980s at Aachen University.Since this time, interdisciplinary profile areas have been established,which is an important structural change to overcome rigid separationof faculties and institutes.For example, mobility and transport engineering combines relevantinstitutes from mechanical engineering, electrical engineering,information technology, civil engineering, natural science, economyand humanities. In addition, interdisciplinary curricula have beenintroduced. The faculty of civil engineering, for example, offers a MScin transport engineering and mobility, providing a unique package ofinterdisciplinary lectures, including electives in humanities, to explainthe mobility of people in the context of public transportation.

Mobility Engineer 2030 – FISITA White PaperUniversity of Bath, United KingdomBy working with industrial collaborators, the University of Bathexposes young engineers to the commercial environment at apoint in their career where it can profoundly contribute to theirdevelopment. The young engineers enter the industry as MEng andMSc and PhD graduates and all need to have a strong understandingof the technical and commercial requirements of the modernautomotive industry. As such they are ideally placed to have themaximum impact on the industry.The nature of the relationship with industry is shaped by the levelat which the students are working. For undergraduates the maininteraction with industry is through a year-long industrial placementthat the majority of students undertake. This is a demonstrable,transformative experience as it is easy to see which year three and fourstudents have been out on placement by their application, attitudeand professionalism. This is in addition to their rapidly advancedunderstanding of how the industry and the products work.The University of Bath is also seeking to encourage more crossfunctional and cross-disciplinary working in the belief that thebiggest challenge in improving the training of future mobilitysector graduates is the way large companies traditionally work.Large companies commonly have a discipline-specific separationof the engineering teams in the design, simulation, manufacturing,calibration and validation steps, with these teams often based ondifferent continents. To be more holistic, these functions need to beconnected. For example, the re-use and improvement of the initialphysical models throughout the vehicle development and validationprocess would enable more complete optimisation, but, in today’sfractured environment, this is impossible.With an increasing drive to narrow the subject expertise of modernengineers to achieve progress in specialised areas of technology,the system-level problem is too often neglected. The system-levelproblem is itself a critical specialism and engineers need to be trainedspecifically to operate within this environment. Once engineeringgraduates are employed, it can be too late to learn the wider aspectsof the way the vehicle (and industry) work.The University of Bath aims to ensure that students are able tounderstand the complex system-level relationships for an engineeringproduct, such as a modern powertrain, and are involved incollaborative projects throughout their training to ensure they arecomfortable within a business setting. Such engineers will have theright mix of capabilities to rise rapidly to positions of leadership in theindustry.Only with high-quality technical leadership can the commercialrequirements of the manufacturer, legislative requirements of themarket, customer aspiration and engineering rigour be understoodand used to shape products that truly deliver the affordable,sustainable, efficient and clean final product required.The way that engineers learn, and the situations to which theyare exposed, are equally important and, perhaps, more importantthan the precise mix of topics in the curriculum. Therefore, industryand universities need to focus on closer and progressive workingrelationships from the earliest possible point in order to create thecorrect learning environment. For example, the thin-sandwich degreescheme run in the UK until the early 1990s was an excellent way toget universities, students and companies working together from thetime that the undergraduate started at the university. The student wasplaced in the university for half of each year and at the sponsoringcompany for the remaining time. By the time they graduated,the student had benefitted from placements in a wide range ofdepartments around the company and was already prepared to bedoing a real job from day one as a full-time employee.Professional associations play an important role in accrediting thequality of education and training provided, to give some qualityassurance to the industry. The Institution of Mechanical Engineers(IMechE) run a Monitored Professional Development Scheme whichhelps to structure the early career development of professionalengineers, putting into place the aspects that are often lacking in auniversity degree and that can only be provided by an industrial party.The University of Bath aims to set up a 21st Century equivalent tothe thin-sandwich undergraduate scheme in an initiative titled theDoctoral Training Centre, that provides training in these wider aspectsin the early part of the PhD study, combined with a placement periodduring the PhD in a related industrial partner. This will educate to PhDlevel in a specific topic, but also give students a working knowledge ofassociated technical fields and the broader industrial experience andknowledge that only partnership with industry can provide.11

Mobility Engineer 2030 – FISITA White PaperDeakin University, AustraliaDeakin University has overhauled its curriculum over the past fouryears in order to introduce a new style of teaching called ProjectOrientated Design Based Learning, or PODBL. PODBL is a teaching andlearning approach that is based on engineering design activities thatare driven by a project that has a defined deliverable that is presentedto them by industry partners or academic staff. PODBL encouragesindependent learning and a deep approach to learning. It alsosupports the development of information literacy and design thinkingin the field of tertiary education - two of the key learning outcomes inmodern provision engineering.The PODBL model integrates on-line and on-campus learning,which has a positive effect on student content knowledge and thedevelopment of skills such as collaboration, critical thinking, creativity,innovation, and problem solving which increases their motivationand engagement. This has been influenced by the modern flippedclassroom pedagogy (Long, 2016), which has enabled a greateramount of interaction between the disciplines, as projects need tohave multi-skilled teams to devise solutions.Each semester, throughout the engineering degree programme,students take part in project-oriented design-based work linked totheir curriculum. Much of this project-based work is cross-disciplinein nature. A considerable amount of first year engineering is commonacross all disciplines at Deakin. This allows each disciplin

The engineering landscape in the automotive industry will broaden in scope – in addition to mechanical engineers, companies will be in significantly greater need of engineers from IT and associated ‘new technology’ disciplines. 2. Besides specialis

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