Siemens SW Generative Design For EV Electrical Systems

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Siemens Digital Industries SoftwareGenerative design forEV electrical systemsExecutive summaryElectric vehicles (EVs) are popularly held as the future of personal mobilityand transportation. New electric car manufacturers are flooding the market while established OEMs divert more investment to electric vehicleprograms in an attempt to stay ahead. Automotive electrical and electronicsystems are becoming more complex, and the complexity is beginning tostrain conventional design methods. Generative design will be a keyenabler for new and established automotive companies as they developall-electric vehicle platforms.Doug BurcickiDirector, Automotivesiemens.com/electrical-systems

White paper Generative design for EV electrical systemsIntroductionElectric vehicles are popularly held as the future ofpersonal mobility and transportation. New electric carmanufacturers are flooding the market while established OEMs divert more investment to electric vehicleprograms in an attempt to stay ahead. All of thesemanufacturers will face significant challenges duringdevelopment. Automotive electrical and electronicsystems are becoming more complex, and that is making the task of designing today’s cars much more difficult. Infotainment, comfort and convenience features,and even safety- and mission-critical systems such assteering and throttle control are accomplished throughelectrically powered computers, actuators and sensors.Electric vehicles will only further increase this challengeas every system in the car will be electrically powered.As more systems are added, a higher load will be placedon the batteries powering the vehicle. This includesincredibly high voltage transmission lines that will bringpower to the electric motor driving the car. These linesrequire additional design guidelines to ensure they arebundled and routed appropriately. To succeed, EV manufacturers will need to integrate all of these featuresinto a safe, reliable and high quality package.To add to this challenge, electric vehicles require extensive testing and validation to ensure safety while maximizing the drive range and performance of the vehicle.Manufacturers will need to incorporate the lessonslearned through simulated and real-world testing intotheir electric vehicle designs to remain competitive.Many expect electricvehicles to take over as theprimary mode of personaltransportation and mobilityin the future.Siemens Digital Industries Software2

White paper Generative design for EV electrical systemsFrom hybrid to hull electricThe ramp to all electric vehicles presents significantchallenges for the engineers tasked with their design.Critically, the engineers must optimize the charging anddischarging of the battery packs to maximize the driverange and performance of the vehicle. In addition,engineers must balance the supply of electrical powerbetween the engine and the litany of safety, comfortand convenience features that have become commonplace in modern vehicles. Systems such as in-vehicleinfotainment (IVI) and the instrument cluster, climatecontrol and advanced driver assistance systems (ADAS),all place a load on the battery.Hybrid electric and plug-in hybrid electric vehicles use acombination of internal combustion and electric powertrains to maximize drive range, fuel efficiency andperformance (figure 1). Most hybrid electric vehiclescan be driven completely by either the internal combustion engine (ICE), or the electric motor, or by a combination. The ICE can also create electric energy andcharge the batteries, much like it would in a traditionalvehicle. This combination of energy sources giveshybrid electric and plug-in hybrid electric vehicles tremendous flexibility in how energy is created to powervarious systems.All-electric vehicles do not have the support of a supplemental source of power such as an ICE. All the powerthe vehicle needs is supplied by the energy stored in thebatteries. As a result, the number and sophistication ofthe electronic features on an electric vehicle has a directeffect on the drive range and performance of the vehicle. ADAS systems often incorporate cameras, radar andultrasonic sensors to enable lane departure warningsystems, automatic braking and more. These systemsare a constant drain on the battery as they are alwaysactive.To enhance the efficiency of the electrical and electronic systems, and thus drive range, engineers willneed to perform architecture and tradeoff analyses toinvestigate architectural proposals. The tradeoff analyses for an EV will need to account for hundreds of components and millions of signals while optimizing function locations, network latency, error rates and more. Inaddition, engineers will need to manage the high voltage lines that carry power to the electric motor, ormotors. These lines often require special designSiemens Digital Industries SoftwareFigure 1. Hybrid electric vehicles have both electric and traditionalpowertrains to power various systems within the vehicle.guidelines regarding routing and bundling that must betaken into account.Despite these challenges, electric drive is a burgeoningmarket. There are almost 350 companies known to bedeveloping electric vehicles, and that number continuesto increase. Some of these are major automotive manufacturers seeking to stay ahead of the coming industrydisruption, but most are startups or companies fromother industries seeking to enter a traditionally impenetrable market. These companies lack industry-specificexperience and the engineering resources to brute forcetheir way through the complexities of electric vehicledesign. Even the major automotive OEMs will faceproblems that their legacy design flows are ill-equippedto handle.This will be true especially as companies move theirelectric vehicle projects from research, developmentand one-off prototyping into full-scale production. Theelectrical and electronic systems will need to be optimized for cost, weight and power consumption whileadhering to the stringent safety requirements prevalentin the automotive industry. To compete, these companies will need a new design methodology that enablesyoung engineers to design accurate and optimizedsystems, which can only be done by capturing the experience and knowledge of veteran engineers. They willneed generative design.3

White paper Generative design for EV electrical systemsGenerative design and engineeringGenerative design takes system definitions and requirements as input and generates architectural proposalsfor the logic, software, hardware and networks of theelectrical and electronic systems using rules-basedautomation (figure 2). These rules capture the knowledge and experience of the veteran engineers to guideyounger engineers throughout the design. Capturingthis IP helps companies to develop both vehicle architectures and new generations of engineers as they learnand implement existing company knowledge.A generative design flow begins with functional models.A functional model represents the functionality of theelectrical system to be implemented, without specifyinghow it should be implemented. It accounts for aspectssuch as communication networks, power sources andcomponents. These models may be captured in a varietyof formats such as spreadsheets, SysML files and MSVisio diagrams.Design teams then normalize these various functionalmodels into a unified format within their electricalsystems design environment, such as Capital. Oncenormalized, the engineers can generate potential architectures for the E/E system logic, networks, hardwareand software. Valuable company IP is integrated automatically into these proposals through the design rulesthat govern proposal generation. At this stage, theelectrical engineers can rapidly generate, assess andcompare multiple architectural proposals, optimizingthe design from the initial solutions presented.From the selected architectural proposal, the engineerscan extract discreet logical systems to generate platform-level network designs and the electrical distribution system (EDS). With this in place, the team cansynthesize wire harness designs for each subsystem,generate manufacturing aids and bills-of-process costs,publish electrical service data and generate VIN-specificservice documentation.Generative designWorkflowENGINEER AT WORKVALIDATEENGINEERING DATAGENERATEToolsALTERNATIVESToolPRODUCT IN USECaptureExporeDiscoverFigure 2. Generative design uses rules-based automation to generate proposals for the logic, software,hardware and networks of the E/E system.Siemens Digital Industries Software4

White paper Generative design for EV electrical systemsWhy generative?The increasing electrical and electronic content of modern vehicles is already pushing current design methodsto their limits, yet the complexity of automotive systems will only continue to grow in the future. Fullyelectric cars will contain incredibly complicated electrical and electronic systems. The drivetrain and criticalsystems alone will require a sophisticated system ofcomputers, sensors and actuators to manage batterycharge and discharge, control systems and the electricmotors. What’s more, future electric vehicles will contain dozens of sensors, hundreds of ECUs, and miles ofwiring to gather, process and transmit the data requiredfor advanced features. Engineers developing thesevehicles will also need to balance performance requirements against power consumption, physical spaceconstraints, weight and thermal considerations.Generative design empowers automotive engineers totackle the challenges of electrical and electronic systems design for electric vehicles. It employs rules-basedautomation for rapid design synthesis, enables engineers to design in the context of a full vehicle platform,and tightly integrates various design domains to ensuredata continuity.Firstly, employing automation throughout the processwill help design teams manage design complexity without increasing time-to-market. Automation helps engineers focus on the most critical aspects of the designSiemens Digital Industries Softwareand verification of the functionality of the E/E systemand reduces errors from manual data entry. Thisempowers engineers to focus more of their time onapplying their creativity and ingenuity to creating thenext generation of automotive technology breakthroughs. Automation also applies company IP to thegenerated proposals through design rules, increasingthe accuracy and quality of the designs.Next, designing in the full platform context helps engineers to understanding the way signals, wires and othercomponents are implemented across the entire vehicleplatform, thereby reducing errors at interfaces or due tothe intricacy of the harness. This design flow alsoenables teams to re-use validated data across vehicleplatforms to improve quality and reduce developmentcosts.Finally, a tightly integrated environment enables theelectrical engineers to share data with engineers andtools in other domains, such as mechanical or PCBdesign. The interactions between the electrical,mechanical and software components of a vehicle areincreasing. Seamless synchronization of data betweenthese domains improves the integration of them into asingle system.5

White paper Generative design for EV electrical systemsData continuityGenerative design creates a continuous thread of datafrom the initial system definition and requirements tofull-scale production and service. The same data feedseach stage of the generative design flow so that nothing is lost between design stages or design domains.This continuous thread of data keeps all engineeringteam members up to date and working with the mostcurrent data while also ensuring that designs are meeting various requirements for functionality, safety,weight and so forth (figure 3).Built-in design rules enable engineers to check designsfor flaws automatically, flaws that can easily be lost inthe sheer complexity of an electric vehicle. These designrule checks can catch unterminated wire ends, inconsistencies in graphical and physical bundle lengths, andcheck for current loads on wires, generated heat andother faults. Again, generative design employs companyIP through these design rule checks to catch designflaws that have caused trouble in the past or that newengineers may not think to check.Tracability supporting compliance and certificationAll abstraction and domains natively connected and integrated into ALM and PLMMulti-domain systemmodeling System definition System models System analysis Asset management Change management Configuration Workflows EngineeringviewpointsE/E architecturefunctions, electrical,electronics, software,hardware, networks Generative automation Output synthesis Separation Redundancy Design rule decks Metircs Requirements traceabilitySoftware AUTOSAR Application design Behavior modelingCommunications Firewalls/Gateways Networks design Protocols and timing Gauranteed deliveryElectrical Generative automation Logical, wiring andharness systems Electrical analysis Manufacturing and serviceECU softwareimplementation Service architecture Cybersecurity libraries Secure bootloader,end-to-end protection,end-to-end encryption Watchdogs, diagnosticsComplianceRequirementsBidirectional traceabilityCertification Fn safety Security EvidenceEnsuring digital continuity, multi-domain traceability, safety and security of autonomous systemsFigure 3. Generative design ensures data continuity from initial system definitions through production and after-sales for full traceabilityand compliance with requirements.Siemens Digital Industries Software6

White paper Generative design for EV electrical systemsAdditionally, data continuity enhances the engineer’sability to analyze the impact of design changes.Traditional design methodologies struggle to quantifythe knock-on effects of design changes. Each changeaffects the rest of the system, and the second- andthird-order effects can be very difficult to predict.Migrating an ECU to a new location or network in thearchitecture may affect performance elsewhere in thesystem. This change in behavior may cascade, invalidating any number of subsystems.Data continuity ensures that projects have a single datasource, providing a clear picture of the myriad interdomain and inter-system interactions. As changes aremade to the design, they can be examined with detailedimpact analysis that will inform the engineer of issuesthe change may cause in other domains. For instance,moving or removing an ECU could be assessed for itsimpact on network timing, signal integrity, or physicalclearance and collision issues. As a result, changes aremade knowing their full impact on the system.Electrifying the driveGenerative design will be a key enabler for new andestablished automotive companies as they developall-electric vehicle platforms. The ability to generateelectrical system architectures automatically enablesearly exploration and optimization of designs whileembedding company IP into the design flow.Additionally, a singular source of data promotes consistency between domains, design re-use, and enhancesthe analysis of change impact. Finally, tight integrationsbetween the electrical domains and with mechanicaland PLM tools streamlines the entire design flow fromconception through production.Siemens Digital Industries SoftwareThe significant complexity inherent in electric vehicledesign will continue to push the tools and methodologies used by automotive engineers. This is especiallytrue in the electrical and electronic systems domains asthey come to dominate the operation of a vehicle’ssafety-critical systems and amenities. The winners inthis disruptive technology will be those companies thatcan most effectively integrate the advanced technologies required for all-electric powertrains into a packagethat is reliable, safe and attractive to consumers, andthen get those technologies to market quickly and witha high level of quality.7

Siemens Digital Industries SoftwareHeadquartersGranite Park One5800 Granite ParkwaySuite 600Plano, TX 75024USA 1 972 987 3000AmericasGranite Park One5800 Granite ParkwaySuite 600Plano, TX 75024USA 1 314 264 8499EuropeStephenson HouseSir William Siemens SquareFrimley, CamberleySurrey, GU16 8QD 44 (0) 1276 413200Asia-PacificUnit 901-902, 9/FTower B, Manulife Financial Centre223-231 Wai Yip Street, Kwun TongKowloon, Hong Kong 852 2230 3333siemens.com/software Siemens 2019. A list of relevant Siemens trademarks can be found here.Other trademarks belong to their respective owners.77784-C6 3/19 CAbout Siemens Digital Industries SoftwareSiemens Digital Industries Software is drivingtransformation to enable a digital enterprise whereengineering, manufacturing and electronics designmeet tomorrow. Our solutions help companies of allsizes create and leverage digital twins that provideorganizations with new insights, opportunities andlevels of automation to drive innovation. For moreinformation on Siemens Digital Industries Softwareproducts and services, visit siemens.com/softwareor follow us on LinkedIn, Twitter, Facebook andInstagram. Siemens Digital Industries Software –Where today meets tomorrow.

Generative design empowers automotive engineers to tackle the challenges of electrical and electronic sys-tems design for electric vehicles. It employs rules-based automation for rapid design synthesis, enables engi-neers to design in the context of a full vehicle platform, and tightly integrates various design domains to ensure data continuity.

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