Modeling electric vehicle operations (bus) SimPlan developed algorithms to determine the closest accessible road to such a container so that a truck can collect garbage.įor the electric vehicle operations models, SimPlan also created a custom user interface so that users can easily configure them and run scenarios. Large vehicles should avoid them in order not to block traffic.
The side from which a truck should collect garbage (left or right side of a street).The direction of a street (one- or two-way).
#Anylogic electricity code#
SimPlan described the charging process with statecharts and used Java code to develop heuristics for location mapping, vehicle scheduling, the arc-routing problem, and tour assignment.ĭuring modeling, SimPlan discovered four additional routing restrictions that had to be considered to accurately capture the systems’ behavior: In the models, agents represented vehicles, facilities, transport management, and charging management. In AnyLogic, they used an agent-based modeling approach to build two electric vehicle operations models. The data was imported from Excel into AnyLogic. To build an EV operations simulation model, SimPlan first needed to gather data on the vehicles (their type, travel range, consumption), schedules, locations of bus stops and garbage containers, costs, and so on. How quickly an electric vehicle charges depends on its state of charge, the amount of power available at the charging stations, and the number of vehicles charging at the same time. Secondly, the charging process is non-linear. Consequently, vehicle schedules and routes would need to be adjusted for the new EV-based fleet mix. The problem is that this EV travel range is less than the public transport’s current tour distance. A conventional bus has a range of 500 km, while a BEV and FCEV will only be able to cover 300-350 km.
The operational consequences of transport schedules and routes.Īdditionally, SimPlan encountered two challenges that they also needed to consider for electric vehicle modeling.įirstly, the electric vehicle fleet has travel range limitations compared to conventional diesel-fueled vehicles.The optimal charging and refueling infrastructure configuration and how much power it would require.The fleet mix of electric vehicles powered by lead-acid batteries (BEV) and EVs powered by hydrogen (FCEV).For the vehicle types, they needed to assess three areas: The goal was to model and develop a digital twin of municipal electric vehicle (EV) fleet operations.įor the project, SimPlan considered two vehicle types: public buses (HSB - Hanauer Straßenbahn) and garbage collection trucks (HIS - Hanau Infrastruktur Service). In light of this, SimPlan, a simulation and optimization service provider based in Germany, ran a project with the city of Hanau and Frankfurt University of Applied Science. This ratio was expected to grow further over the next five to ten years. In 2019, EU parliament issued a directive that stated by 2025, 45% of public buses should be low- or zero-emission. Climate change and environmental impact are hot topics in Germany.
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