Proposals are expected to address all the following aspects:

• Guarantee an exhaustive coverage of high-efficiency, low-power, low-cost on-street smart charging points considering grid infrastructure and capacity, optimisation of civil works and grid requirements for services and charging needs, including the parking patterns (charging on long- and short-term parking spaces) to reduce the need for additional buffers to stabilise the grid.
• Address users’ needs and requirements in socio-cultural contexts of different communities to incorporate daily habits, practices and ideas into the design and development of people-friendly infrastructure with emphasis on public charging (also considering smart use, while connected, of energy consuming convenience functions like cabin and battery pre-heating and cooling).
• Use statistical models of parking, traffic and grid configuration and energy flows to predict and support power supply planning on a larger scale (e.g. at least regional), along with methodologies and demonstrations to derive or calibrate such models on the basis of real traffic and behavioural data.
• People centric applications equipped with the analytical capability and Human Machine Interfaces (HMI) for friendly access and use, that support the interactions related to the ratio between location, power (and its guaranteed minimum) and price for prompt decision making or pre-allocation of charging stations in line with users’ charging preferences and vehicle state of charge, also allowing charging point operators to predict power demand.
• Support and demonstration of smart and bi-directional operation in overnight publicly accessible environments to accommodate demand for long-term charging, and meeting some of the requirements of opportunistic charging types, motivating the people to optimally charge (maximising the use of renewable power) and promoting the development and use of interfaces with customized vehicle charging technology which can be preconditioned and set-up by the driver, including the pre-allocation of charging points.
• Development of innovative optimisation functions exploiting real-time access to battery information such as state of health, state of charge, capacity and power set point, which should be provided respecting any GDPR and data disclosure terms to the owners, users or other stakeholders in the value chain, such as building energy system managers, mobility and logistics service providers and electricity stakeholders.
• The developed solutions are expected to be provided on non-discriminatory terms between users and classes of users and allow the choice of the e-mobility service providers, so as to avoid consumers lock-in with a single e-mobility service provider, affiliated to specific vehicle manufacturers.
• Optimise the use of energy resources and infrastructures to cater not just for private mobility usage but also integrating opportunity use of the same infrastructure by other light duty captive fleets if their needs are compatible with the low power level.