Advances in battery technology and charging infrastructure have improved long-distance electric vehicle (EV) travel. However, effective trip planning can be challenging. EV trip planners (EVTs) can support drivers in range regulation, yet their effectiveness and acceptance depend on how drivers experience the interaction. In this context, we introduce Driver Electric Vehicle Trip Planner Interaction Style (DEVTIS), which captures individual differences in reliance on or modification of system-generated recommendations. DEVTIS is assumed to be shaped by driver characteristics, experience, and perceived system cooperativity. The objective of the present study was to examine EV drivers' interaction with EVTs for range regulation on long distances and its underlying psychological dynamics. Through a correlational online study with 133 EV drivers, we assessed affinity for technology interaction and subjective range competence as personal characteristics variables, perceived cooperativity and DEVTIS as core interaction-related variables, trust and system acceptance as evaluative user experience measures and range stress and range utilization as EV range-regulation-related variables. Findings revealed that perceived cooperativity negatively predicted DEVTIS, indicating that higher perceived cooperativity was associated with less frequent modification of system recommendations. Moreover, perceived cooperativity positively predicted trust and system acceptance, while DEVTIS negatively predicted both. Subjective range competence showed a slight negative association with range stress. These findings underscore the importance of understanding human-automation cooperation in EVT usage. Considering perceived cooperativity and individual interaction tendencies supports the design of adaptive, driver-centered EVTs, facilitating a seamless transition to EV-based mobility. Promoting perceived cooperativity may enhance trust and system acceptance, while excessive modification of EVT recommendations could undermine these factors.