![]() ![]() ![]() After that AMESim and Simulink co-simulation platform was used to build the vehicle dynamics model and to exploit the control algorithm. Four evaluating indexes were set for optimal decision making to decide the optimal expected speed, according to the pass time that the forward traffic lights allowed and the distance or the forward vehicle speed and distance. ![]() Then, a preview and optimal decision controller was built. Based on the data of standard New European Driving Cycle, this article put forward a real-time cycle including traffic light position and time information at first. It used Vehicle to Infrastructure (V2I) communication of traffic light distance and time gap to make velocity decision in order to improve whole driving performance. To achieve a better energy-efficient and comfortable vehicle driving, electric vehicle energy predictive optimal control was discussed in this article. ![]()
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March 2023
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