MEDIUM-AND HEAVY-DUTY EV DEPLOYMENT: DATA COLLECTION
CALSTART and its partners will collect and analyze data from a diverse set of electric vehicles across different applications, geographies, terrains, and climatic conditions. Data from – electric school buses, transit buses, trucks and off-road equipment – is of particular interest to support the anticipated growth of electrified transportation nationally. We welcome the participation of both public and private fleets as well as Clean Cities Coalitions.
HOW IT WORKS
- Meet with CALSTART
- Review and sign a Data Sharing Agreement
- Install or configure existing Data Loggers
- Establish automatic data sharing or transfer data
- Receive Report of Findings from CALSTART
WHAT YOU GET
- Analytics – Each participating fleet will receive an analysis of data
- Final Report of Findings – Each participating fleet will receive a summary report of major findings
- Information Sharing with other fleets and regular updates
PROJECT DURATION
- 12 Months of data collection
- Rolling start with data collection concluding Q1 2022
- Project end December 2022
THE DATA WE’LL COLLECT
- Vehicle Data: Collected using on-board data loggers and established data collection protocols
- Charging Data: Collected from EVSE using charging management software provided on the majority of equipment
- Facility Data: Information on electricity consumption and energy throughput
- Maintenance Data: All related vehicle information including maintenance data, service calls, and vehicle/equipment availability
DATA COLLECTION
DATA USAGE
The data will be used to perform analyses that will include but not be limited to the following:
- Project-level analyses to understand the relative performance of each deployment project
- Vehicle-type analyses to understand the performance of different vehicle types
- Climate analyses to understand vehicle performance under different climatic conditions
- Use-case analyses to understand performance of vehicles related to applications/use cases
- Location-based analyses to understand performance of the MD and HD EV sectors based on different geographies
- Vehicle charging and energy consumption analyses to understand energy cost savings, emissions reductions, and energy consumption patterns
STORAGE & SECURITY
- Data will be verified, cleaned, anonymized and stored on a secure server
- All Personal Identifiable Information (PII) or data deemed proprietary will be treated as confidential
- Vehicle charging and energy consumption analyses to understand energy cost savings, emissions reductions, and energy consumption patterns
PARAMETERS
| Sample Measures | Collection Method | |
|---|---|---|
| Vehicle Data – Performance | Trip duration, average speed, total distance, average efficiency, total kWh used, battery pack SOC used | Data loggers |
| Vehicle Data – Specifications | Model year, manufacturer, GVWR/ Bus length, range estimate, battery chemistry | Self-report |
| Charger Data | Charging session duration, electricity charged, electricity cost, average charging power | Built-in software, sub-meter |
| Facility Data | Electricity source, electrical consumption, base price, demand charges | Self-report |
| Maintenance Data | Data/time of service, type of maintenance, cost | Self-report |
