Automotive Control Solutions - PowerPoint PPT Presentation

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Automotive Control Solutions

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Automotive Control Solutions Russell Potter CTO, President Alex Gutica - CFO Brian Nelson - CTO Automotive Control Solutions The AF Optimizer – PowerPoint PPT presentation

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Title: Automotive Control Solutions


1
Automotive Control Solutions
Automotive Control Solutions Russell Potter
CTO, President Alex Gutica - CFO Brian Nelson
- CTO
  • The AF Optimizer
  • - An ENSC440 project -

2
Contents
  • The ACS Team
  • The AF Optimizer
  • The 440 project
  • In-car Demo
  • Now
  • The future
  • Conclusion
  • Questions?

3
Automotive Control Solutions
  • A cutting-edge development team
  • specialize in control of automotive performance
    through electronic air/fuel optimization
  • Appeal to owners of any car, particularly older
    vehicles with simple electronic control

4
Who Are We?
  • User Interface Firmware Lead
  • Russell Potter
  • DSP Firmware Lead
  • Alex Gutica
  • Hardware Lead
  • Brian Nelson

5
Internal Combustion Engine
  • Requires a correct mixture of fuel and air in
    order to function
  • Fuel is mixed with the air, compressed, and
    ignited.
  • When ignited, the air/fuel mixture drives pistons
    down, which turns a crankshaft.

6
Fuel Delivery
  • The most efficient burn mixture has an 14.71
    air-fuel ratio.
  • The lean condition
  • The air-fuel ratio is too high
  • Results in detonation, power loss, increased
    emissions
  • The rich condition
  • The air-fuel ratio is too low
  • Results in reduced economy, increased emissions,
    power loss

7
Fuel Injection System
  • Proper fuel delivery is electronically controlled
    through a fuel injection and ignition timing
    system

8
Fuel Delivery
  • Based on a 2-variable present map in the ECU
  • Load/Airflow meter
  • RPM

9
The Problem
  • Fuel maps and fuel delivery are designed for
    compromise
  • By modifying fuel delivery and consequently
    air-fuel ratios, improvements can be made
  • Performance
  • Economy
  • Improved Emissions

10
Why Modify an Already Tuned System?
  • Are the original engineers incompetent?
  • No but, the original characteristics of the motor
    can be changed
  • Performance enhancements
  • Changing the amount of air\fuel flowing into the
    motor
  • General engine wear
  • Perhaps a different compromise is desired

11
Current Solutions for Modifying Air-Fuel Ratios
  • Modifying the computer new fuel maps
  • Model-specific
  • Costly
  • Lack of user-specific ability to tune
  • Standalone systems
  • Complete computer replacement is very intrusive
  • Requires extensive, expensive tuning
  • Mechanical solutions
  • Rudimentary
  • APEXi SAFC
  • Our direct competition

12
The AF Optimizer
  • Its functionality and potential market
  • Its competitive edge
  • Features
  • System Design and Implementation
  • Hardware and firmware

13
The AF Optimizer
  • What does it do?
  • Recalibrates air flow sensor data, while
    monitoring car
  • Allows for flexible tuning of air fuel ratios
  • Moves to different location on original fuel map
  • Monitors automobile sensors with real-time visual
    display to users
  • Why would one buy it?
  • To inexpensively and safely optimize delivery of
    fuel to their engine

14
Target Market
  • Customer needs to tune their fuel system
  • Desires better performance
  • Wants a simple, noninvasive install
  • 29 Billion Dollar aftermarket part industry
  • Our target demographic is young people
  • With older cars
  • Who demand an inexpensive, feature packed fuel
    control system

15
Compatibility
  • Compatible with wide range of manufacturers
  • Required
  • Fuel injection
  • MAP or VAF sensor
  • 0-5V Scale
  • Reality Older, simple computer is better

16
AF Optimizer Advantages
  • First and foremost, price
  • Versatile for use on many different vehicles
  • Easy to install and remove
  • Un-intrusive to the vehicle
  • Real-time monitoring
  • Works on older cars

17
Feature Overview
  • Airflow tuning features
  • Shift Light Features
  • Monitoring Features

18
Tuning Features
  • Many Tuning points provides more tunability
  • based on RPM and Throttle
  • RPM Tuning
  • 2000-8750 RPM - 250 RPM increments
  • 75 to 125 - 1 increments
  • Linearly Interpolates between tuning points

3000 3250 3500 3750 gt102
110 109 107 98 100 97 98
19
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20
Tuning Features
  • Throttle Percentage Tuning
  • 2 Calibration Curves High / Low Throttle
  • User defined - based on throttle thresholds
  • Throttle Thresholds
  • Low e.g. lt30 throttle
  • High e.g. gt90 throttle
  • Linearly interpolates between the thresholds

21
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22
Tuning Features
  • Overall 2-Dimensional interpolation
  • RPM and Throttle are variables

23
Shift Light Features
  • 2000-10000 RPM in 100 RPM increments
  • 5 Sequentially lit LEDs
  • LEDs light up every 100 RPM as you approach your
    desired shift point
  • Increasing brightness
  • Example where shift light set to 5000 RPM

24
Monitoring Features
  • Real-time monitoring of engines sensors
  • RPM
  • Throttle
  • Battery Voltage
  • O2 Sensor Voltage
  • Airflow and calibration monitoring
  • Calibration
  • Pre and Post Airflow Voltages

RPM 3250rpm Throttle 80
Battery 14V O2 Sensor 220mV
Airflow 106 Pre 2050mV
Post 2184mV
25
System Overview
26
AF Optimizer Hardware
  • Part Sourcing
  • PIC 16F Microcontroller
  • Maxim 10-bit DAC
  • Noritake 4-line x 20 character VFD
  • 5Volt Regulator
  • Input Circuitry

27
Hardware Challenges
  • PIC Microcontroller
  • Need to service the display, inputs and DAC fast
  • Fast speed for calculations
  • DAC Accuracy
  • Power Management
  • I/O conditioning
  • Noisy car signals, voltage scaling
  • Creating a stable, fast analog output with DAC

28
AF Optimizer Firmware
  • Performed two functions
  • Sample inputs, calculate, output
  • Handle interaction with user
  • Buttons
  • Display
  • Written in C
  • High level functionality
  • Easy writing, debugging
  • Memory Processor Usage

29
Firmware Challenges
  • Debugging and Simulation
  • Simulator has limited functionality
  • PIC was new to us
  • Timing
  • We had strict timing demands
  • Needed all three hardware timers
  • Required very careful time management

30
Final Product Performance 1
  • Successful integration into the vehicle was
    dependent upon system response speed
  • Response to a 16Hz sine as airflow input
    (unrealistic, but illustrates system performance)

31
Final Product Performance 2
  • A more realistic response to a square wave
  • 1.5 ms system delay
  • Small capacitor used to eliminate discontinuities

32
Integration Challenges
  • Very smooth integrating into the car
  • Research of sensor signals
  • In-car signal testing with oscilloscope
  • Great lab setup for proper simulation
  • Start up and Connection issues
  • Starter draws current and dropped the battery
    voltage
  • FIX Cap and diode
  • Bad connections with breadboard and car wiring
  • FIX Soldered car wiring harness PCB
  • Car has a bad O2 Sensor

33
Demo Time
  • Things to demonstrate
  • Monitoring
  • How to setup throttle values
  • Shift light
  • How to set airflow calibrations
  • Car running and driving
  • Out to B-LOT everyone

34
Dyno Results
  • Very Impressive Results!!
  • Running too rich loses power.
  • Running too lean loses power
  • We are able to change the air fuel ratios
  • Here are the results

35
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36
Baseline Run
37
Rich Run
  • Tried 120 but threw Check Engine Light
  • Tuned to 110 from 2000-6700 RPM (redline)
  • Results

38
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39
Rich Run
40
Lean Run
  • Running too lean lost power in low RPMs
  • Original ECU runs too rich at high RPMs
  • Use AF Optimizer to lean high RPMs
  • Results

41
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42
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43
Engineering Considerations
  • Positive system feedback due to vehicle velocity
  • Does not affect airflow into engine
  • Dynamometer is appropriate for vehicle tuning
  • System memory considerations (derivatives)
  • Precautions were taken to prevent derivative
    reversal
  • Airflow signal adjustability range limited to 75
    - 125
  • High and low throttle curves at least 20 of
    entire throttle range apart
  • Testing indicates airflow signal changes much
    faster than throttle

44
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45
Budget
  • Proposed Budget 665
  • Actual Spending 200
  • Difference -465
  • Summary
  • We UNDERSPENT!
  • Due to building only 1 prototype, cheap dyno time

46
AF Optimizer Schedule
Predicted Completion Dates February 27 March
6 March 13 March 24
Actual Completion Dates March 15 March 6 March
17 April 4
Firmware Hardware System Integration Final
Testing
47
AF Optimizer Now
  • Have a fully functional prototype!
  • Weve priced many parts in quantities
  • The display dominates
  • Accounts for as much cost as all others combined
  • Produced prototype PCB and casing
  • Plans underway for production model
  • Designed to use 1 PIC for cost

48
AF Optimizer The Future
  • Small distribution at first
  • Use online car clubs for marketing
  • Will hopefully get feedback
  • If all goes well, incorporate!
  • Outsource manufacture to overseas
  • Build relationships with distributors
  • Maybe make a few

49
Future Design Considerations
  • Split it up into modules
  • Display and buttons
  • Main PC Board and wiring to cars wiring
  • Shift light (remotely mounted)
  • Optimize PCB designs

50
ACS Team Summary
  • This was a great learning experience
  • Conclusions
  • Acknowledgements

51
Lessons Learned
  • Time and hard work invested early pays off
  • Research allows for easier problem solving
  • Documentation is important for complicated
    projects

52
Conclusions
  • We chose a great project
  • Because we love cars
  • It was complex, but workable
  • We honed our skills learned in 4 years
  • This product can make money

53
Acknowledgements
  • Scott, Lucky, Fred
  • Dave Atchison, for experience with PIC and Dyno
    time
  • ESSEF funding

54
Questions?
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