Together, we can give car buyers confidence when shopping for a used electric vehicle. Reports from Recurrent also help dealers sell with confidence, knowing that one great sales interaction can lead to many more.
This page is designed to educate dealer teams about Recurrent and our reports so each person can educate their customers and sell more electric cars.
FAQ 1: What are Recurrent battery reports?
Each section of the report offers different information for car shoppers. Let’s walk through the report to review each element so you can explain it to your team and customers.
At the top left section (below) you’ll find identifying information about the vehicle, including make, model, year, trim, VIN, location, and fuel type. All dealership reports are personalized with the dealership name printed at the top, along with the date the report was either generated or updated. This module is a reassurance that the data for this report is being used to help understand this specific vehicle at your dealership.
The top right section (below) contains a range rating of fair, good, or excellent. Our machine learning algorithms use data collected from similar vehicles to predict the dashboard range estimate under different conditions for this vehicle. This range is then compared to the EPA range to create a percent of original EPA range, which determines the fair, good, or excellent score. Using these range ratings, a shopper and sales team member can easily navigate the expected range for vehicles their clients are interested in, helping narrow down their selection before digging into the details.
The middle section (below) has two complementary modules, a range estimate module to the left and a map of that range on the right. The left module first highlights the likely max dashboard range under ideal conditions. Below that is a list of three estimated ranges at three different temperatures that are representative of the region the vehicle is in. The size of the bubbles surrounding the numbers is a representation of the uncertainty of that estimation. These bubbles capture the uncertainty in terrain, driving behavior, battery thermal management, and use of auxiliary equipment like heat.
Using historical data of similar vehicles, we use our machine learning models to estimate the range this vehicle may have 3 years from the report date. The uncertainty of that prediction is represented by the minimum and maximum values. The original EPA range is posted at the bottom of this module and is the comparison range used in the calculation of excellent, good, or fair ratings.
This module is a good tool to help establish expectations of range in the near future and to highlight that under extreme temperature conditions, a driver will likely get a lower range than on an optimal day.
The module on the right is intended to map a one-way full charge distance an owner could drive on an optimal day, starting from the home zip code of the vehicle.
These two modules are a great way for a shopper and sales member to discuss the kind of lifestyle that this particularly EV will fit. Will this EV or plug-in hybrid be suitable for the average city commute or regular long hauls?
The bottom section has a module with battery age information on the left and a vehicle comparison on the right.
The figure on the right has a vehicle’s age on the x axis and an estimated dashboard range on the y axis. The dot represents this vehicle and the green band represents the range degradation curve for all similar vehicles that this vehicle is compared to. The green band represents the set of range estimates where our models show that 68% of similar vehicles fall. If this vehicle’s range estimate falls outside of this green band it could indicate that the battery is more or less degraded than similar vehicles, or that similar vehicles are typically used in locations that are quite different from this vehicle’s location in terms of weather or terrain.
The term “similar vehicles” generally includes other cars that are made by the same manufacturer that share the same battery chemistry.
This module allows a sales member and shopper to see how this vehicle’s dashboard range compares to others like it; backing up any claims of a premium quality vehicle. If there is more than three years of range degradation data shown in the plot, this is also an opportune time to show the most likely ranges the shopper may achieve the longer they own the vehicle.
There is a point at which we don’t have enough data to present any information about range for this or comparable vehicles. That is labeled in pink as not enough data.
On the left is an estimated manufacture date, age of battery, and remaining battery warranty coverage. Knowing the age of the battery is important because there are two dominant aging mechanisms for batteries, calendar aging and battery cycling aging. Calendar aging occurs with time whereas cycling aging occurs with use. We estimate the manufacture date using the model year, however we know that the vehicle can be made within the year prior to the model year. Therefore our estimate of battery age is currently imperfect. Most warranties cover 8 years and 100,000 miles. Based on the battery age and odometer, we estimate the amount of years and miles left on the battery warranty. It is always best to check with the manufacturer or government policies if the warranty is still covered though, especially after transfer to a new owner.
FAQ 2: When will reports be updated?
Reports are updated the mornings of MWF, centered on Pacific Time.
FAQ 3: Can I review and post my own reports?
We are working on a dealer portal that will enable this.
FAQ 4: Is there a dealer portal?
We are actively working on developing this and will announce to all our dealerships when it is live.
Our dealership partners use Recurrent information on their websites in two key ways. Just like you, we care deeply about making your customers feel comfortable and supported by credible organizations. We're here to continue building long-lasting, trustworthy relationships and making words like 'machine learning' and 'data' feel approachable for anyone. To that end, we've provided the following resources to set your website and sales executives up for success in the electric vehicle market!
Adding Recurrent vehicle badges to your website can be done by following the steps in this PDF.
Dealer partners often add a stand-alone page about Recurrent to the website. It is a place for car shoppers to understand our approach and how we are able to ease their concerns about battery performance and longevity.
Here is a description that you can use on your website:
Recurrent is a team of battery scientists, data scientists, and software engineers that provide vehicle reports for used electric vehicles. Their goal is to demystify the most expensive part of an EV, their massive batteries. Their reports provide:
Reports from Recurrent provide car shoppers with:
- transparency on expected range at different temperatures
- the quality of the battery compared to when new
- the quality compared to similar vehicles
- expected range degradation
To do this, Recurrent has recruited thousands of real EV drivers to share their vehicle’s data as they drive everyday. This data is then anonymized, aggregated, and used in their machine learning models to draw conclusions of battery quality, performance, and range degradation. By comparing your future car to hundreds or thousands of other similar makes and models, Recurrent can give you peace of mind with your car purchase.
The team at Recurrent is motivated by the prospect of making electric vehicles accessible to all who are interested in benefiting from the cheaper fuel and lower maintenance that EVs have to offer, no matter their economic background. Learn more about Recurrent and their team of scientists at recurrentauto.com.
I am here to work with you and your teams so let me know if you have any questions!