Table Of Contents

ChargEval documentation

ChargEval is a decision support system for electric vehicle infrastructure (EVI) design for the state of Washington, USA. The underlying modeling framework is general enough that the tool can be used at any scale, any where.

Note

The live demo of the EV Infrastructure Designer is here and some sample runs can be seen in the Results Viewer here.

The decision to build EVI is a complex one and is dependent on several factors. ChargEval uses combination of models to predict the EVSE utilization. The documents detail the various components of the ChargEval system and the component models involed.

Contents:

• 1. Introduction
• 2. Decision Support System
  • 2.1. Definition
  • 2.2. Need
  • 2.3. Frameworks available
  • 2.4. Justification of selected framework
• 3. ChargEval
  • 3.1. Goals of ChargEval
  • 3.2. Components
• 4. System Architecture
  • 4.1. Model
  • 4.2. View
  • 4.3. Controller
  • 4.4. Benefits of MVC Architecture
  • 4.5. System Diagram
  • 4.6. Deployment
• 5. Data Requirement
  • 5.1. Static Datasets
  • 5.2. Dynamic Datasets
• 6. Database
  • 6.1. Database Overview
  • 6.2. Flyway
  • 6.3. Tables
  • 6.4. Triggers
  • 6.5. Functions
• 7. EV Infrastructure Designer (evides)
  • 7.1. Live Demo
  • 7.2. UI Details
  • 7.3. Implementation Details
• 8. Simulation Manager (simman)
  • 8.1. Implementation Details
• 9. Trip Generation (tripgen)
  • 9.1. Estimate Long Distance Trips
  • 9.2. Estimate Daily Long Distance EV Trips
• 10. EV Infrastructure Agent-based Model (eviabm)
  • 10.1. EVI-ABM System Overview
  • 10.2. Finite State Machine Control
  • 10.3. Assumptions and Limitations
• 11. Results Viewer (resview)
  • 11.1. Live Demo
  • 11.2. UI Details
  • 11.3. Implementation Details
  • 11.4. Redash

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1. Introduction