Meeting electric vehicle targets through data collection and analysis

Electric Vehicle, Data, Meeting electric vehicle targets through data collection and analysis

Nick Sacke, Head of IoT Solutions at Comms365, discusses how in order to increase the efficiency of transport networks, particularly within the Electric Vehicle (EV) market, new operational models based on data will potentially unlock valuable insights into how EV chargepoint infrastructure is used and how it can be significantly improved to meet demand. 

As a result of bringing forward the ban of selling new petrol, diesel or hybrid cars from 2040 to 2030, as part of the government’s ‘Road to Zero Strategy,’ the pressure is on for the UK Government to meet its Electric Vehicle (EV) targets. Recent reports have found that in order to achieve such targets, electric vehicle chargepoints must be fitted five times faster than the current rate. But in order to achieve maximum and efficient use of EV chargepoints, it’s not just a case of simply installing more but considering how they can be managed to overcome operational challenges created by increasing demand, and mitigate against misuse which arises from user behaviours. 

In order to increase the efficiency of transport networks, particularly within the EV market, new operational models based on data will potentially unlock valuable insights into how EV chargepoint infrastructure is used, and how it can be significantly improved to meet demand. Nick Sacke, head of IoT solutions at Comms365 outlines the challenges currently facing the EV chargepoint sector and how these can be mitigated through the efficient gathering, analysis and use of data. 

Operational Challenges 

The operational challenges of EV chargepoint network infrastructure are related to the number of chargepoints available and how they are used. Solutions to the issues are becoming increasingly focused on two particular behaviours that interfere with the effective use of EV infrastructure – ‘ICEing’ and ‘hogging’. ICEing is where an internal combustion (IC) vehicle is parked within an EV bay, preventing it from being available for genuine EV users. Whereas hogging is where an EV vehicle is being used and charged in the bay, but space is kept occupied for longer than it should, far surpassing the duration of the charging session and preventing other EV drivers from using the resource. 

Recent surveys conducted by Comms365 suggest the general public is less concerned about ICEing and hogging than local councils. However, this may be because the public has not yet faced the potential scenarios that result as a consequence of such behaviours, such as having no available chargers. But these situations will only become more common once the usage and demand increases for electric vehicles each year up to when the IC vehicle ban comes into place in 2030. This is already adding enormous pressure on the government to encourage use of EV vehicles and make sure that the public charging infrastructure is in place to refuel vehicles as efficiently and easily as the current fuel station model. 

Profiling Usage and Behaviours

To overcome these infrastructure challenges, local authorities and governments are looking at profiling what happens within the EV infrastructure, including monitoring the percentage of utilisation and the time of the day it’s used. Some interesting data points from existing research* that has been conducted indicate a current low utilisation of EV chargepoints. While we may not have yet reached peak EV demand, this may mean that people aren’t aware of chargepoint locations or don’t know how to use them effectively. 

While the functionality of EV chargers is increasing, arguably, this is not as important as helping users locate and use them efficiently. Users must quickly navigate to their nearest chargepoint and identify whether any chargers are available – which is deemed as ‘essential’ by 81% of both EV drivers and non-EV drivers in recent research* by Comms365 and Cenex. For example, there could be a sign outside a car park which states that all four chargers are busy, but one unit will be available in five minutes. This reflects the goal to create a similar environment to that of a petrol station, where drivers don’t mind sitting in a queue if they can see the pump ahead will shortly become free. Cultural mirroring must be considered for the use of EV, especially compared to what users of diesel and petrol vehicles are used to – there must be a matching of consumer experience between EV and IC vehicles to boost adoption. This is supported in the same research results, which found that 23% of non-EV drivers don’t want their refueling experience to change when switching to an EV.

In Scotland for example, the government is already attempting to deal with bay ‘hogging’ through implementing overstay charging fees, a form of enforcement that works by issuing fines if users stay too long by going beyond their charge session. However, some of these enforcement models are problematic in rural environments with less enforcement capacity. In summary, there’s a significant cultural challenge of how to implement a fair system that people will not abuse. But how do you try to achieve the ‘filling station effect’ with public resources? What may work is a rapid charger system for users to ‘top up’ with enough miles for the rest of their journey and then complete a full charge once they are home – which may be a more realistic prospect with the technology and deployments we have available today.

Data Collection and Analysis

No expansion and rollout of electric vehicle charging infrastructure can work effectively without data collection, analysis and sharing. It’s all well and good putting up ‘islands’ of chargers, but these cannot be managed properly without access to data that is shared with multiple stakeholders, including councils and users. Currently, data rests in silos, meaning the data is controlled by the chargepoint network operator (CPNO). There is now growing pressure from Central and Local Government to make chargepoint datasets available to be shared through industry-standard protocols (OCPP and OCPI) to provide a fertile ground in which to grow new operational policies and allow the chargepoint network to operate more effectively. The gathering, sharing and analysis of this chargepoint data, together with IoT and other data sources, will identify trends, behaviours and challenges, streamline processes and make the most efficient use of information. 

In fact, EV infrastructure may not work if stakeholders don’t collect, analyse and share their data effectively, contributing to a wider collaboration by integrating all the information together, such as traffic counts, signals and highways network operation. Pinch points and problems will appear, but with access to the right information, the data can help create answers to the problems. Once stakeholders and local councils collaborate and share their data, a more holistic and clearer picture to users can be created.

New Initiatives

Beyond access to EV chargepoints, what other needs will users have? What about the disabled driver? Recently, there have been new initiatives using Automatic Number Plate Recognition (ANPR) at EV chargepoints. Having access to the information about who the driver is opens up possibilities for implementing a network of disabled EV bays to direct the individual to. Note that the design of a disabled EV bay will not be the same as an ordinary EV bay; the charger will have a different design, and the individual will have certain needs to be met, such as space around the charger manoeuvre wheelchairs. 

There is also the possibility of incentivising EV further with dynamic charging plans where prices reflect electricity grid load and are dependent on the time of the day. If you’re charging at night on a public charger, should you pay less? And if it’s a peak period or location, should you pay more? The opportunities are endless – but only with the correct data collected to provide meaningful insight. 

READ MORE:

Conclusion 

It’s in all stakeholders’ interests to make EV infrastructure and the charging experience as streamlined, user friendly and efficient as possible. If it appears too challenging, then chargepoints will not be perceived to be available, and if users don’t know where chargepoints are, then people may not adopt EV en masse. However, by deploying technology solutions, including IoT EV bay monitoring to help make these processes more efficient, with real-time data flow and sharing at the core of the proposition, those involved can benefit from improved transport networks ahead and prepare for the inevitable increased demand will occur. 

For more news from Top Business Tech, don’t forget to subscribe to our daily bulletin!

Follow us on LinkedIn and Twitter

Author

  • Electric Vehicle, Data, Meeting electric vehicle targets through data collection and analysis

    Nick Sacke is Head of IoT Solutions at Comms365 and has over 30 years of telecommunications experience ranging from Sales to Director roles. Previously, Nick has worked as a senior product and commercial specialist for Managed ICT and IoT propositions and services for SME, Enterprise and Local Government customers.

The rise of lights-out automation in medtech

Amber Donovan-Stevens • 14th September 2021

The global pandemic sped up digital transformations for businesses across the globe. Dr Chantelle Kiernan, Senior Scientific Advisor – Innovation & Digital Transformation (Manufacturing), IDA Ireland explains how the health crisis accelerated lights-out manufacturing in Ireland’s medtech industry.

5G: Pushing the world forward through emerging technologies

Amber Donovan-Stevens • 04th August 2021

As we look to the future, the adoption of 5G networks across the globe is set to revolutionise the way we do business. It promises to significantly upgrade our technology toolkit, improving operations and providing solutions that will create a more inclusive, connected and sustainable world, says Bhushan Patil, SVP EMEA, Tech Mahindra.

Join our webinar on 28th September: How the digital nomad generation influences business behaviour

X