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A Method for Heuristic Distribution of Charge Across a Citywide Grid of Autonomous Electric Cars

IP.com Disclosure Number: IPCOM000251592D
Publication Date: 2017-Nov-14
Document File: 4 page(s) / 39K

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The IP.com Prior Art Database

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A Method for Heuristic Distribution of Charge Across a Citywide Grid of Autonomous Electric Cars

Autonomous electric cars are an emerging technology with a number of benefits over conventional cars, notably their environmental friendliness and safety. However, they also have a number of drawbacks at this point in time, with their limited charge and mileage being commonly cited as a negative factor. Given that the infrastructure is still in its infancy and charging points are not widely available, it is a genuine concern for drivers that they may be unable to reach their destination. The time required to fully charge an electric vehicle is also a major pain point, with even the fastest chargers taking substantially longer than refuelling an internal combustion engine.

Research has been conducted into the use of cars themselves as charging hubs whilst in motion, to allow peer-to-peer energy sharing. By utilizing wireless charging systems mounted on the vehicles, energy can be exchanged in order to facilitate the energy requirement of vehicles attempting to reach destinations beyond their available range. However, this has largely been investigated on a one-to-one basis. This has a number of drawbacks, including the need for cars to make detours to align with sources or receptors. These connections are made based on immediate need, and only compare one car against another.

In addition, current research does not consider the issue of energy distribution based on fluctuating supply and demand. For example, at morning peak times, there will be a surge in supply as cars that have been charging overnight suddenly flood the roads, whilst in the evening, there may be a surge in demand as commuters return from work. These changes in supply and demand are also dependent on a number of other factors such as the weather, time of year, local events and national holidays.

Considering these points, this disclosure describes a method by which energy requirements are addressed at a city-wide level. Vehicles equipped with peer-to-peer energy systems are used to distribute and channel vehicle-based charge to areas of a city that are currently experiencing heavy electric vehicle traffic, or are expected to do so based on predictive algorithms. In effect, charge can be distributed across a fleet of electric vehicles, with each individual vehicle only undertaking a small detour. A. Dynamic Charging of Electric Vehicles in Motion: http://thesai.org/Downloads/Volume6No6/Paper_34- Dynamic_wireless_charging_of_electric_vehicles.pdf

This paper covers the process behind transferring charge whilst in motion and provides a case for the necessity of this. It confirms the validity of using electromagnetic induction transfer as method to dynamically charge electric vehicles in motion. B. Cooperative Approaches for Dynamic Wireless Charging of Electric Vehicles in in a Smart City: http://www.maglaras.org/PID3122729.pdf

Similar to above, but introduces the idea of vehicles estab...