Electric Vehicle Smart Charging – The share of electric cars is increasing and will continue to increase in the future. This is good for the environment and sustainability, but it creates new challenges for operators of electric vehicle charging infrastructure. Let’s take a company fleet as an example: What if in the future all employees come to work in electric cars, connect to a charging station in the morning and start charging all the cars at the same time? How to avoid such peak loads? How can we ensure that the energy management system efficiently uses electricity from renewable sources, such as photovoltaic systems, thereby not only contributing to sustainability, but also dramatically reducing electricity costs? Alexander Koch, Moritz Bräuchle and their team at Research are tackling these questions. They are developing Smart Charging, a cloud-based energy management system that enables optimized and intelligent charging of electric vehicles.
Iskander: The Smart Filling project was born out of a cross-functional project here. At the time, we were mainly interested in this question: what would smart charging look like at home? This means: How can the car charging process be managed, how can we communicate with the user’s energy management service? Starting from this, our current project was developed at the beginning of 2020, where the focus is not on the individual housing and the direct connection with the vehicle. Instead, at Smart Charging Enterprise we are working on a cloud-based energy management system that uses the existing charging infrastructure for electric vehicles and communicates directly with the charging point via the charging point operator’s backend. We want to achieve an optimized charging of electric vehicles according to certain parameters – for individual cases, but especially in the case of business applications with a large number of vehicles, the so-called fleet charging.
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Electric Vehicle Smart Charging
Moritz: We are working on a framework to develop algorithms that can be used to create an optimal load plan for a location. Optimal in this context means that it takes into account not only the demands of individual vehicles, but also factors such as the current and future price of electricity, the availability of renewable energy such as photovoltaic systems, and the overall load on the earth. In this way, peak loads and high electricity prices can be avoided, contributing to the sustainability of a space.
Amazon.com: Autel Home Smart Electric Vehicle (ev) Charger, 50 Amp Level 2 Wi Fi And Bluetooth Enabled Evse, Indoor/outdoor Car Charging Station With Both In Body Holster And Separate Holster
In contrast to the Smart Charging Enterprise, the Smart Charging Residential project, funded as an innovation project of the Group, focused on the question of how smart charging can be at home. As a result, the Smart Charging Residential service is sold as a cloud-based service in Connected Mobility Solutions, together with other services for a seamless charging experience, as a software solution for OEMs. The driver can charge his electric car with solar energy. It is also possible to adapt the charging behavior to dynamic electricity prices and charge the car when the electricity price is low. As a result, the user can halve the electricity bill and use three times more self-generated electricity compared to conventional charging. Learn more about smart charging solutions
Smart Charging: Better Charging for Electric Vehicles Learn how Smart Charging uses a cloud-based energy management system to optimize the existing charging infrastructure for electric vehicles.
Moritz: Unlike cars with combustion engines, electric vehicles have great potential to help reduce harmful CO2 emissions in the future. But they can fully develop this potential if they are charged with clean energy. Electric vehicles themselves do not produce emissions, but if they are charged with electricity from a coal-fired power station, this is of little benefit. Therefore, the algorithm we have developed for Smart Charging explicitly considers the efficient use of renewable energy in addition to the cost of electricity and site charging. Example: Current charging systems adjust the time – the sun shines, we have a certain amount of energy and we can distribute it to all the vehicles in the company’s fleet. But our goal is to make predictions, that is, to look into the future. For example, the driver must leave soon and fully charge his car in advance. However, the cloud front is moving and the power of the photovoltaic system will be reduced accordingly. We incorporate such data and forecasts into our model seven days in advance, so that in the best case scenario, we can achieve an optimized load at the lowest prices and with the highest proportion of renewable energy. Of course, this is very important for corporate fleet planning.
Cars with combustion engines still dominate company fleets and even employee parking lots. Electric cars are rare. Do we need such a complex energy management system to charge the fleet?
Pdf) Smart Charging For Electric Vehicles: A Survey From The Algorithmic Perspective
Iskander: Of course, if not today, then tomorrow at the latest. Our research focuses on a future where more electric cars will be on the road. We already see today: The increasing share of electric vehicles is very good from a sustainability perspective, but it creates big challenges for both the operators of the electric vehicle charging infrastructure and for companies.
More and more people go to work with an electric car and want to charge it there during the day. The number of people who also use electric vehicles for shopping is increasing and they also want to charge their batteries there. In addition, more and more buses or logistics fleets are running on electricity. This is why we need parking lots with adequate infrastructure for charging electric vehicles. And it simply doesn’t have to provide all the power to all the vehicles – otherwise there may be peak loads that can overload the relevant location, high electricity costs and possibly a low proportion of renewable energy – and it can impact. such as a blow fuse.
In dynamic systems, the energy management system must react very flexibly, for example Smart Charging. Alexander Koch, Manager of Smart Charges Activities
Alexander: We are currently developing an energy management system that avoids this problem, offering the greatest possible flexibility in the use of energy, for example, predicting the behavior of users. For example, our algorithm needs to learn vehicle load requests using the corresponding user IDs. The algorithm does not know who these users are or where they are going, but it must know what they need. The situation is similar in the case of large bus stops or the fleet planning of logistics companies: They are very dynamic systems, where vehicles come and go, sometimes with intervals of minutes or seconds. The energy management system must react flexibly to provide the optimal load plan as quickly as possible. We are working on a solution that can handle large and dynamic systems and can be used with only minor adjustments in different ways, be it in bus stations, logistics companies or even company parking lots. Here, for example, at our site in Renningen, we can test an energy management system where the intelligent charging of electric vehicles adapts to the site’s load profile to avoid peak loads.
The Smart Grid Could Hold The Keys To Electric Vehicles
In addition to charging the fleet, the optimized charging of individual electric vehicles is the second focus of the Smart Charging project. What improvement are you talking about here?
Moritz: The charging of individual electric vehicles can certainly be organized more efficiently and cheaply with the highest proportion of renewable energy. So our research is to see what functions we can perform earlier in the charging process, later in the energy saving operation, for example. An example of this is the air conditioning of cars, for example, the heating of the cabin. This does not pose a problem for classic cars with combustion engines: the waste heat from the existing engine is used for heating anyway. However, electric cars produce almost no heat loss. Therefore, if we predict the driver’s user behavior with Smart Charging, we can extract the energy needed from the network to pre-heat the cabin, thus helping to reduce energy consumption during the journey. Smart charging with an energy management system like Smart Charging therefore also uses grid energy for individual vehicles, with the goal of saving battery energy later. Comsel EV charging is a complete charging solution with low running costs. The solution includes chargers and charging experience to billing and network management in an integrated package with powerful interfaces.
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Smart Charging For Electric Vehicles
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