Infineon AURIX 32-bit microcontrollers as the basis for ADAS / Automated Driving Deutsche Bank AutoTech Conference San Francisco, 11 May 2017

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1 Infineon AURIX 32-bit microcontrollers as the basis for ADAS / Automated Driving Deutsche Bank AutoTech Conference San Francisco, 11 May 2017 Dr. Jürgen Rebel Corporate Vice President, Investor Relations

2 m.s. trend m.s. trend m.s. trend Infineon s position in the automotive semiconductor universe Automotive semiconductors 2016 total market size: $30.2bn NXP* Infineon Renesas Texas STMicro 10.7% 9.8% 7.8% 7.4% 14.0% +0.3%-pt Market share trend Infineon benefits disproportionately from the two mega trends clean cars ADAS/AD Sensors Microcontrollers Power Bosch Infin NXP Mele Allegro 8.3% 7.3% 7.3% 16.3% 12.5% +0.6%-pt 24 / 77 GHz radar REAL3 sensor Renesas NXP Texas Instr. Infineon Microchip 9.7% 8.7% % ADAS/AD Powertrain 30.9% 27.0% Infineon NXP* Bosch * Divestiture of NXP s Standard Product business ( Nexperia ) closed on 16 Feb 2017; hence included in the 2016 ranking. Source: Strategy Analytics, Automotive Semiconductor Vendor Market Shares, April % 5.7% +0.4%-pt 25.6% 9.2% 13.4% xev penetration EPS Lighting 2

3 Key market trends significantly drive increasing semiconductor content per car ADAS/AD ADAS and AD are critical enabler to reduce the number of fatalities and serious injuries ( Vision Zero ) Clean cars To reach CO 2 emission goals, the automotive industry has to focus on a higher efficiency of the classic ICE, and the electrification of the drivetrain (xev) Connectivity/security Advanced connectivity is driven by making the car part of the internet Connectivity must be secure ADAS/AD and clean cars will generate half of the 8% trendline growth of ATV 3

4 Any next automation level requires more assistance systems and thus ECUs Level of automation Level 2 Level 3 Level 4/5 Application * Radar # of modules ** Parking assist Valet Parking Highway & Traffic Jam Assist Highway pilot Urban pilot / Robot Taxi Camera # of modules ** Lidar # of modules ** Others Ultrasonic Ultrasonic Interior camera * Source: VDA (German Association of the Automotive Industry), Society of Automotive Engineers ** Market assumption; *** See glossary Ultrasonic Interior camera V2X *** 4

5 Camera modules Radar modules Lidar modules Sensor Fusion Total BOM* Camera modules Radar modules Lidar modules Sensor Fusion Actuators Total BOM* Camera modules Radar modules Lidar modules Sensor Fusion Actuators Total BOM* ADAS/AD semi growth driven by radar and camera sensor modules over the next 5 years Average semiconductor content per car by level of automation * Level 2 (2020) Level 3 (~2025) Level 4/5 (2030+) $50 $30 $400 $240 $55 $680 $140 $0 $165 $25 $60 $100 $180 $195 $40 Bill of material estimates include all type of semiconductors ** * Source: Strategy Analytics, IHS Markit, Infineon; ** e.g. radar includes µc BOM roughly estimated for around 10m vehicles in each level Next Update planned in H Sense Compute Actuate 5

6 Radar Camera Lidar Tomorrow s car system architecture will be much different from today Today Democratic structure: Systems are connected to one another Tomorrow In the future, systems will be clustered in domains and organized hierarchically Connectivity Gateway Data Fusion Driving Domain ADAS Domain Body & Comfort Domain Infotainment Domain Torque Control HVAC Navigation Dynamics Control Lighting HMI Energy Management Theft protection Entertainm. 6

7 basic car functions decision making Introduction of central computers triggers demand for high-performance, fail operational microcontrollers (MCUs) L0 / L1 / L2 vehicles human acts L3 / L4 / L5 vehicles camera radar lidar GPS central computer CPU / GPU MCU (AURIX ) central computer triggers car operations + temperature pressure position speed classic ECU MCUs, e.g. AURIX MOSFETs IGBTs power ICs future ECU = classic ECU + higher performance + fail operational + secure fail operational systems require redundancy in power switches, power supply sensors MCUs car security is achieved through discrete security controller (OPTIGA ) integrated security modules in MCUs (AURIX ) 7

8 Demand for MCUs is driven by a rising average number of ECUs in the mid-range and central computing platforms vehicle segments Light vehicle production ECU Central Computing luxury/premium [units m] [MCUs per car, today / trend] [CPU/MCUs per L3+ car] mid-range total thereof L3+ cars up to 110 MCUs up to 60 MCUs slightly down up 2 CPUs + 1 MCU 1-2 CPUs + 1 MCU total thereof L3+ cars economy/low-end total thereof L3+ cars 0 up to 20 MCUs same 0 CPU 0 MCU Source: Strategy Analytics, Infineon estimates 8

9 AURIX microcontroller complements CPU/GPU to make the central computer robust and fail operational Examples of central computing platforms Functionality Data processing for applications (e.g. parking) Fusion of object data, deep learning algorithms AURIX as real-time main controller or host controller ISO ASIL-D safety host monitoring operation of the data fusion ECU Environmental model calculation (road, objects) Trajectory planning Modelling of driver behaviour Safe and secure gateway to the vehicle network Fallback operation in case of a GPU/CPU fail Safe communication to actuator control units AURIX is the market reference as host controller in central computing platforms Pictures: Courtesy of Nvidia, Intel 9

10 AURIX microcontroller is the safety controller of choice for current and upcoming data fusion platforms Featured in leading OEM platforms SOP SOP SOP SOP x Europe 2x Europe 2x US 3x Europe 2x US 2 in discussion 4 in discussion???? + High-profile Tier 1 customer base 10

11 32-bit microcontrollers capture the lion share of $- opportunity in automotive applications Example: A premium car with ~110 MCUs 32-bit MCU market is the place to be [USD m] 32-bit 25% 16-bit 30% 8-bit 45% 32-bit 60% 16-bit 25% 8-bit by unit by value 8-bit 16-bit 32-bit 3,570 = 61% market size CAGR (16-23) for 32-bit: +5.3% 5,116 = 72% market size 1,464 1, bit 16-bit 32-bit 32-bit in on data CC fusion boxes AURIX microcontrollers fit basically to all 32-bit use cases (except infotainment) and is clearly gaining market share in 32-bit automotive market. Source: Strategy Analytics, Automotive Semiconductor Demand Forecast , January 2017; Infineon estimates 11

12 growth driver AURIX use cases xevs ICE Infineon AURIX microcontroller family covers the majority of 32-bit use cases Powertrain Chassis / Safety / ADAS / AD Body / advanced connectivity engine management transmission domain control chassis suspension vehicle stability control advanced body control module over-the-air update starter generator BEVs HEVs, PHEVs DC-DC converter power steering 77 GHz radar electric parking brake 24 GHz radar airbag and safety advanced lighting connected gateway online control module onboard charger battery management driver monitoring sensor fusion vision safe host controller infrastructure controller for V2V/V2X unit production xev penetration ADAS/AD penetration evolution from L0 towards L5 comfort penetration connectivity 12

13 Key takeaways The hierarchical system architecture of the car of the future will require an increasing number of high-performing and fail operational 32-bit microcontrollers The demand for microcontrollers will be driven mainly by a higher average number of ECUs in mid-range cars and on top central computing platforms for level 3+ beyond 2020 Infineon AURIX family is the microcontroller of choice in more than 80% of current and upcoming data fusion platforms By 2023, about 72% of automotive MCU $-value will stem from 32-bit AURIX microcontrollers fit basically to all 32-bit use cases (except infotainment) and represent the most comprehensive portfolio in the industry Strong multi-billion-$ design-win pipeline drives revenue growth and continuous market share gains in automotive microcontrollers 13

14

15 Automated driving ADAS * /AD * semi BoM * growth is driven by radar and camera sensor modules Market penetration per level of automation L5 Driverless 2035 up to 10m vehicles p.a. No driver L4 Fully automated 2030 up to 10m vehicles p.a. L3 Highly automated 2025 up to 10m vehicles p.a. ADAS * L2 Partly automated L1 Assisted 2020 up to 10m vehicles p.a. temporary 2015 up to 20m vehicles p.a * See glossary Source: IHS Markit, McKinsey, UBS, Infineon tomorrow 15

16 The 5 levels of increased automation (VDA * definition) Level 1 Level 2 Level 3 Level 4 Level 5 Permanent monitoring by the driver System is driving, with more or less backup by the driver. In case of failure, the system must run for a certain time on a backup. No driver Assisted System assists longitudinal OR lateral movements E. g.: Automatic Emergency Brake, Turning Assistant, Lane Keep Assist, Stop & Go Partial Automation System performs longitudinal AND lateral driving task in defined use case E. g.: Traffic Jam Assist (with steering intervention), Combination of Adaptive Cruise Control and Lane Keep Assist, Parking Assist High Automation System performs longitudinal AND lateral driving task in defined use case, but gives back control when outside of defined parameters E. g.: Highway Pilot Amendments of current regulations are necessary (e.g. Vienna StVO, ECE-R79) Full Automation Driver can hand over entire task of driving to the system in specific use cases E. g.: Urban Pilot, Valet Parking Autonomous Driving/Driverless System can handle all driving situations. No Driver necessary from start to destination. E. g.: Robot Taxi * see Glossary Source: VDA, BMW 16

17 Infineon's product portfolio fosters revenue growth in ADAS/AD for the next decade Today Driver Monitoring $ $ $ $ $ Front $ $ $ $ $ Rear/surround $ SiGe * 77 GHz $ $ $ $ $ $ $ $ SiGe * 24 GHz $ $ $ $ $ $ $ $ RF CMOS $ $ $ Sensor fusion $ $ $ $ Others Lidar $ $ $ $ $ Actuators $ $ Sense Compute Actuate 17

18 Glossary ADAS: Advanced Driver Assistance Systems AD: Automated Driving AI: Artificial Intelligence BCM: Body Control Module CC: Central Computer CPU: Central Processing Unit ECU: Electronic Control Unit FOTA: Firmware Over-The-Air GPU: Graphics Processing Unit MCU: Microcontroller Unit SoC: System-on-Chip VDA: German Association of Automobile Manufacturers V2V: Vehicle-To-Vehicle V2X: Vehicle-To-Everything 18

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