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As the adaptive cruise control system (ACCS) on vehicles is well developed today, vehicle manufacturers have increasingly employed this technology in new‐generation intelligent vehicles. Pulse‐and‐glide (PnG) strategy is an efficacious driving strategy to diminish fuel consumption in traditional oil‐fueled vehicles. However, current studies rarely focus on the verification of the energy‐saving effect of PnG on an electric vehicle (EV) and embedding PnG in ACCS. This study proposes a pulse‐and‐glide‐driven adaptive cruise control system (PGACCS) model, which leverages the PnG strategy as a parallel function with cruise control (CC) and verifies that PnG is an efficacious energy‐saving strategy on EVs by optimizing the energy cost of the PnG operation using Intelligent Genetic Algorithm and Particle Swarm Optimization (IGPSO). This article builds up a simulation model of an EV with regenerative braking and …