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Robust Mixedsignal Design in Smartpower IC Processes

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DRC rules on nets and pins. Electrical rule check at schematics level ... Completed by specific DRC check and generic LVS. 17. Silicon Solutions for the Real ... – PowerPoint PPT presentation

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Title: Robust Mixedsignal Design in Smartpower IC Processes


1
Robust Mixed-signal Designin Smart-power IC
Processes
  • R. GillonAMI Semiconductors BelgiumISIE05 SS8
    Power ICs

2
Smart-power ICs ?
  • On-board intelligence
  • Power handling
  • On-board intelligence
  • State-machine / logic
  • Micro-processor
  • Memory ROM, RAM, EEPROM, OTP
  • Communication interfaces
  • Transmitters, receivers, protocol engines,
  • Power handling
  • Drivers transistors, diodes
  • Sensing Control
  • Analogue and conversion circuitry
  • Protections
  • ESD, EMC, over-temperatures,

3
Smart-power IC !
  • Process
  • Components
  • Isolation schemes
  • Interconnects
  • PDK
  • Models
  • Symbols
  • Pcells
  • Verification
  • IP blocks
  • Memories
  • Digital libraries
  • Analogue blocks

4
Robust Mixed-signal Design
  • Process
  • Components
  • Isolation schemes
  • Interconnects
  • PDK
  • Models
  • Symbols
  • Pcells
  • Verification

How to engineer the design-system to enable /
favour robust design practices ?
5
Robust Mixed-signal Design
  • B. Gilbert in Trade-offs in analog Circuit
    Design
  • the art of anticipating, identifying and
    systematically nulling sensitivities of critical
    performance specifications to variances in the
    manufacturing process and the circuit's
    environment
  • Sources of variability (chip-centric universe)
  • Intrinsic Variations inherent to the chip
    fabrication, the selected architecture
  • Extrinsic Perturbations interaction of the
    chip with a variable environment

6
Intrinsic variations
  • Process variations
  • Die-to-die
  • Intra-die (process-induced gradients)
  • Component mismatch
  • Noise
  • Intrinsic noise (semiconductor physics)
  • Activity noise (induced random signals)
  • Component aging
  • Electrical (over-)stress
  • Temperature gradients
  • Qualification level (process, components)

7
External Perturbations
  • Better solved by other means (than IC design)
  • Eg moisture
  • Not quantifiable, but can be minimizedby
    appropriate measures during IC design
  • Eg Mechanical stress degrading transistor
    matching
  • Can be quantified and designed for
  • Temperature effects
  • EMC
  • ESD events
  • Standardised accidental pulses (eg automtive
    Shaffner)
  • Latch-up

8
Process Design Kit ?
9
Overview of Robustness Tools
Internal Variations
Ext. Perturbations
10
Managing Electrical Stress Risks
  • Introducing different voltage ratings
  • For famillies of nets (through labelling)
  • For diffused pockets (tubs)
  • Formal management of connectivity of components,
    tubs, etc. according to ratings
  • DRC rules on nets and pins
  • Electrical rule check at schematics level
  • Safe-operating area flagging during simulation

11
Managing Component Aging Risks
  • Static approach or guard-banding
  • The life-times under constant stress are
    extracted
  • Models issue safe-operating area messages
    according to selected target life-times
  • Covers most basic needs

12
Managing Component Aging Risks
  • Static approach or guard-banding
  • The life-times under constant stress are
    extracted
  • Models issue safe-operating area messages
    according to selected target life-times
  • Covers most basic needs
  • Computation of dynamic aging
  • Determination of aging rate
  • Computation of parameter shifts according to age

13
Managing Process Variations
  • Die-to-die variations
  • Study distributions of key electrical parameters
  • Determine dominant modes of variations
    (correlations)

14
Managing Process Variations
  • Die-to-die variations
  • Study distributions of key electrical parameters
  • Determine dominant modes of variations
    (correlations)
  • Identify correlation groups
  • Build sets of corners for each correlation group
  • Alternatively provide process Monte-Carlo models
  • Modelling paradox
  • Statistical data is available in electrical
    parameters
  • ETest parameters are not model parameters
  • Either repeat extraction many times or build
    special mapping techniques

15
Managing External Perturbations
  • Electro-Magnetic Compatibility
  • Standards for Emission and Susceptibility
    simulations
  • Typically from low frequency till 1GHz
  • Dielectric transition frequencies of silicon
    substrate
  • Redistribution of current filaments in metals not
    properly modelled in most EM simulation tools
    (avoid to solve electric and magnetic fields in
    the conductors).
  • Need to assess realism of EMC simulations
    comparing impedance levels at tip of package lead

16
Managing External Perturbations
  • Testing ESD protection strategy
  • Smart-power ICs can have very complex interface
  • Many different supply levels
  • IO pins with different voltage ratings
  • Very large number of pins
  • Wide variety of ESD protection cells
  • Tool for testing topology of ESD protection
    scheme
  • Drop-in replacement of all component models by
    simplified breakdown models
  • Forcing of static current in IO pins
  • Detection of current paths through simulation
  • Flagging of breakdowns outside of ESD protection
    cells
  • Extension to detect risks of dynamic failures
  • Completed by specific DRC check and generic LVS

17
Managing Learning Processes
  • Road-map for Smart-power technologies
  • Progressive introduction of new features to meet
    the needs and timings of different markets
  • Consumer
  • Automotive, Aero, Military
  • Medical
  • Several nested feedback loops
  • Tools to support / channel feedback
  • Helpdesk systems
  • Tracking of qualification status at component
    level
  • Quality systems Waivering systems for rule
    violations,

18
Conclusions
  • Stimulate robustness by construction
  • Tackle risks as early as possible in the design
    process
  • Favor analytical approaches w.r.t. predefined
    push-button solution
  • Efficiency and flexibility of solutions is
    critical
  • Enabling robustness requires holistic approach to
    PDK engineering
  • ROBUSPIC projects is addressing key topics in
    enabling methodologies for robust design

19
Acknowledgements
  • 6th framework program (IST) for funding of the
    ROBUSPIC program
  • Partners in ROBUSPIC
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