EVM Priority Booking

EVM Priority Booking

As the number of Battery Electric Vehicles (BEVs) increases, the demand for efficient and effective electric charging stations will rise.

Each Internal Combustion Engine vehicle takes on average 2-5 min to clear the pump, but a Battery Engine Vehicle can take between 20-70 min to clear a charge point. According to Zap Map, the typical rapid charge point in UK now delivers just over 3 charges per day increasing to 6 in London. As the number of BEV without the option of on street charging increases, this average number is expected to multiply substantially, putting pressure on the Rapid Charge Networks.

Even today with a relatively low number of BEVs on the road, there are issues for both drivers and Charge Station Operators (CSO).

THE PROBLEM

It is vital that a simple, effective solution is found that benefits both the drivers and CSOs.

A driver will ask:

•How do I manage the overall journey time when I don’t know how long it will take me to charge?

•How do I avoid queuing at rapid chargers for hours at a time and being late for my appointments?

•Why can’t I book a charging slot at a rapid charger?

Meanwhile, a CSO will think:

•How can I increase the footfall at my charging points?

•How do I best optimize and manage my energy demand?

•How do I manage the demand at the busy charging points?

CSO company EVMCharge owns and operates a network of 10 Charging Stations (CS) each with between 10-30 rapid charging points within a 100-mile radius of their HQ.

EVMCharge is a partner of EVM and has access to the EVM APIs.

Scenario 1

• One of their CS is unusually quiet today with only 2 of the 24 bays currently being used and they have a fully charged on site battery, so they want to increase trade

• CS central software requests info via the API on all EVM members who are within 30 minutes drive time of the CS who also have a SOC% of less than 30%

• An offer (of reduced-price charging or discounted retail) is made to the matching EVM members and those that accept it are automatically allocated a reserved Charge Point when they are 5 minutes away from the CS

• CSO sees increased footfall on a quiet day and covers the cost of incentive with additional retail profits

Scenario 2

• After a sporting event, one of their CS is exceptionally busy and so the CSO wants to spread the demand to some of their other nearby CS

• CS central software requests info via the API of all EVM members within the local area who are heading in the direction of one of their alternative CS and who have sufficient SOC% to be able to get there safely

• An offer (of reduced-price charging or discounted retail) is made to the matching members if they head to the alternate CS

• All EVM members who accept the offer are automatically allocated a Charge Point when they are 5 minutes drive away from the alternate CS

• CSO is able to manage their demand peaks and efficiently spread this over their network

DRIVER CASE STUDY

Flexible Booking of Charge Points – Lucy’s Story

Lucy owns a BEV with a typical range on full charge of 260 miles. She has a home charger and off street parking.
She is a member of the EVM club.
Lucy is planning to visit her parents on Friday who live 150 miles drive away and stay overnight, returning on Saturday afternoon. Her parents don’t have any charging facilities so she will need to plan a charge stop on her journey back.
She is planning to go out for the evening with friends on Saturday, so needs to be back home for 6pm.
Lucy plans to leave her parents house at around 1pm allowing 5hrs to do the 150-mile drive, plus a stop for charging.
She chooses a rapid charging point using her EVM app which is approx. 1hrs drive from her parents' house, so makes the provisional booking for 2pm.
She is delayed leaving and doesn’t leave until 2pm and traffic is heavier than she expected
The EVM solution checks at 1:30pm (30 mins before her booked slot) and realizes that she is running late, which triggers the provisional booking to be moved into the booking pool with a high priority
At 3:10pm, when she is around 5 minutes away from her selected charge point, the booking is automatically activated, and the charge point is reserved for her via the OCPP protocol with a message being sent to her to indicate which charge point to drive up to
After driving straight onto her reserved charge point, Lucy plugs in and takes a break whilst her car charges
40 minutes later she is on her way and gets home relaxed and in plenty of time for a great night out!

How it works for you

For the Driver

Subscription based membership club – for a low monthly fee.

• Step 1: Sign up for membership.

• Step 2: Receive the black box for your vehicle.

• Step 3: Enjoy the benefits.

For the CSO

• Connect to our APIs for access to the EVM member data.

• Know which vehicles are nearby to Charge Station X which could be needing a charge.

• Manage prebooking of slots on specific Charge Points.

• Use aggregated data to understand potential demand / siting of new Charge Stations.

At EV Mobiliti, we have found the solution.

By opening up the visibility of the State of Charge (SOC) of member vehicles, our patent pending system is able to use this information to provide a data driven solution to demand management.

We address the problem for both parties involved - the EV Driver and the CSO.

For the driver:

• We reduce the ‘Journey Time Anxiety’ by facilitating a smart pre-booking facility together with an incentive driven route to an improved charging experience for all participating drivers

• Provides a ’priority boarding’ type access to Charge Points and circumvents any queuing

For the CSO:

• We maximise the footfall at Charging Points by providing a mechanism to increase demand via local visibility

• Changes CSO operations from being purely passive to being able to attract demand to their locations

• We also allow a way to load balance across nearby Charging Stations to manage demand on the grid / local storage

CASE STUDIES