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What is an Electric Vehicle Suitability Assessment?

Last updated on April 24, 2023 in EVs & Sustainability by Hani Hawari |  4 minute read


Make your electrifying transition seamless.

With the emphasis on fleets to reduce greenhouse gas emissions, an increasing number of fleet managers are compelled to inquire about the viability of adding electric vehicles (EVs) to their fleet. What you might be looking for is an electric vehicle suitability assessment.

 

A few questions that fleet managers may be asking include:

  1. Which electric vehicle models are available in the local market? Are they able to perform the job requirements?
  2. Is switching to EVs viable from an operational and financial perspective?
  3. Which of my current fleet vehicles are good candidates to be replaced by EVs?
  4. What kind of charging infrastructure is required to support my electrification plan?
  5. What would the greenhouse gas reduction be?

See also: 

Telematics RFP checklist for EV support: What fleets should expect from their telematics provider

Take the fleet electrification survey from Rocky Mountain Institute

What is an Electric Vehicle Suitability Assessment (EVSA)?

An Electric Vehicle Suitability Assessment (EVSA) is a tool that helps the fleet manager answer these questions and assists them in creating a blueprint for electrification. The EVSA delivers the data analysis needed to make the case to transition your fleet to electric in a way that makes sense for the organization's budget and time frame.

 

The assessment also ranges from manual calculations and estimations in a spreadsheet, to using an automated tool that simplifies data input, all the way to commissioning consultants to prepare a fleet electrification plan tailored to the needs of the organization.

 

See also: Electrify Your Fleet: Q&A with the Expert

An electric vehicle suitability assessment saves time for fleet managers

A key benefit of an electric vehicle suitability assessment it that it can save fleet managers time by making it easy to look up EVs and compare them based on factors such as:

  • Retail price
  • EV type (Battery Electric vs. Plug-in Hybrid)
  • Vehicle class
  • Battery capacity/range
  • Local availability
  • Maintenance schedules
  • Charging speeds

Operational requirements

Before diving into the total cost of ownership (TCO) cost analysis, an EV must first and foremost be able to complete the required range. Analyzing the maximum distance driven for vehicles and comparing that distance to the real-world EV range provides an immediate pass or fail to help make decisions on an electric vehicle.

 

Driver range anxiety is one of the main reasons that many fleets have not yet made the switch to EVs. However, an EVSA will analyze the daily driving range requirements (over the last 12 months, if possible, to capture business seasonality), to verify that the selected EV can do the required distance on a single charge.

Financial analysis

After confirming that there are EVs capable of doing the job required, the next step is to understand the financial impact of acquiring EVs. More importantly, also seeing if a switch would save the fleet money over the lifetime of the vehicles.

 

The financial aspect of the EVSA would calculate lifetime cost of replacing a vehicle with an EV and compare it with replacing it with a non-EV. The following cost components are usually considered:

  • Vehicle acquisition costs (whether it is a purchase or lease)
  • Maintenance
  • Fuel and electricity
  • EV procurement incentives
  • Low Emission Zone charges (where applicable)

The EVSA helps fleet managers understand the changes in the cost structure if they elect to acquire EVs. Typically, EV acquisition costs are higher, but the fleet will make up the difference with operational cost savings on fuel and maintenance.

 

It is also important to consider any EV government incentives available for the fleet. In some organizations, it is possible to unlock funds from sustainability programs aimed at reducing this organization’s greenhouse gas emissions. These funds, along with government incentives, can play an important role in reducing the total cost of ownership of EVs.

Environmental impact

Electric vehicles provide a great opportunity for fleets to reduce its fuel consumption and carbon footprint. An immediate environmental benefit of using an EV is the elimination of idling emissions.

 

Going green also has direct financial implications in some areas. In central London for example, EVs are exempt from the Congestion Charge, priced at £11.50 per day. Other jurisdictions around the world are considering similar types of low emission and congestion fees.

 

The EVSA can help quantify the tailpipe emissions reduction, fuel cost savings, as well as any congestion toll savings.

Some fleets take a holistic approach to emissions reduction when running EV assessments and identify opportunities to right size their fleet. Right-sizing includes reducing the number of vehicles based on overall utilization, as well as the fleet’s vehicle class composition. Ask yourself, does your fleet really need multiple pick-up trucks, or would a more cost-efficient vehicle be able to do the job? Cost savings realized by right-sizing the fleet are then put towards electrifying more vehicles.

Charging infrastructure

One major consideration to fleet electrification is to understand the type and cost of the charging infrastructure required to support the energy requirements of the fleet.

 

In order to not interfere with the drivers’ daily operations, the planned infrastructure should allow for all charging to take place when the vehicles are parked for an extended duration (typically overnight). The EVSA will identify the locations of charging stations, their types, and the procurement and installation costs. The EVSA would also verify that vehicles are parked for enough time to properly charge for their next shift.

The role of telematics in an EVSA

An EVSA can be as simple as a back-of-an-envelope calculation of cost savings based on estimates and averages, or as complex as running second-by-second physics model simulations of each EV under consideration.

 

A good middle-ground would be to remove the guesswork out of trip information and utilize data collected through the telematics solution installed within the fleet. Telematics solutions provide access to a rich set of data points that can be used to refine the accuracy of such an EV assessment.

 

To start, we can get accurate daily driving distance readings and compare them against the real-world range of EVs available in the market. Furthermore, having accurate fuel consumption readings can refine the fuel savings calculations and increase the accuracy of the financial model.

 

A more advanced assessment can use location information to get data on the local terrain where vehicles are driven. This data can be correlated to outside temperatures to figure out when to factor in climate control systems when modeling the EV battery capacity. More advanced models can look at driving behavior parameters such as speed, hard acceleration and braking to further refine the estimated range of an electric vehicle under the same driving patterns. With Geotab’s support, we can help make your transition as seamless as possible.

 

Learn more about transitioning to electric vehicles by downloading our ebook "The complete fleet electrification roadmap".

 

Related:

Fleet Electrification Knowledge Center

Electric trucks: the next generation of logistic solutions


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Hani Hawari

Hani Hawari

Hani Hawari is a Senior EV Product Manager at Geotab focused on helping fleets go electric.


Disclaimer

Geotab's blog posts are intended to provide information and encourage discussion on topics of interest to the telematics community at large. Geotab is not providing technical, professional or legal advice through these blog posts. While every effort has been made to ensure the information in this blog post is timely and accurate, errors and omissions may occur, and the information presented here may become out-of-date with the passage of time.

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