Electric vehicles
Download
1 / 15

ELECTRIC VEHICLES - PowerPoint PPT Presentation


  • 82 Views
  • Uploaded on

ELECTRIC VEHICLES. Will Barnard Pam Becker Troy “Hugin” Noble Linda Sonne Jonathan Weiss Christian Wiest Ted Yu. Coming soon to your everyday life!. Agenda. EV Overview EV Value Proposition Bayesian Network Overview Results and Sensitivity Limitations of Model Recommendations.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' ELECTRIC VEHICLES' - ramona-wynn


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
Electric vehicles

ELECTRIC VEHICLES

Will Barnard

Pam Becker

Troy “Hugin” Noble

Linda Sonne

Jonathan Weiss

Christian Wiest

Ted Yu

Coming soon to your everyday life!


Agenda
Agenda

  • EV Overview

  • EV Value Proposition

  • Bayesian Network Overview

  • Results and Sensitivity

  • Limitations of Model

  • Recommendations



Why should people like driving an ev
Why should people like driving an EV?

  • Quiet, Clean Driving Experience

  • High Performance

  • Lower Operating Costs

  • No Gas Stations - Refuel Where You Are!

  • Environmentally Friendly

  • Energy Security



Where can i charge how long will it take how far can i go
Where can I charge?How long will it take?How far can I go?


What is the cost
What is the cost?

  • Vehicle

    • Purchase

    • Lease

    • Subsidies

  • Ownership

    • Battery Replacement

    • Wear and Tear

  • Refueling


Consumer sensitivity
Consumer Sensitivity

Minimum Efficient Scale: 60% Acceptance Price: $1,000 Premium Range: 100 miles



Bayesian network
Bayesian Network:

Problem Statement:

Determine the probability of success of EV’s for an existing car manufacturer.


Network weights
Network Weights

0.35

0.20

0.20

0.15


Results and sensitivity analysis
Results and Sensitivity Analysis

  • Results:

    Probability (Supply = High) = 54.79%

  • Sensitivity:

    • If Consumer Demand has 100% probability of being high:

      Probability (Supply = High) = 69.94%

    • If Consumer Demand has 100% probability of being low:

      Probability (Supply = Low) = 34.94%


Limitations of model
Limitations of model

  • Dilution of probabilities given high number of hierarchy levels

  • Independence of probabilities

  • Definition of influence weights

  • Constraint of two states of nature per node

  • Lack of consideration of time shifts


Recommendations
Recommendations

  • Investment

    • Prioritize according to influence of primary nodes

    • Create an implementation timeline

  • Demand

    • Continue to monitor external influences

  • Stakeholders

    • Partner for lobbying and product development


ad