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By: M Fatima, Mehvish Fatma, Syed Mohammed Arham, and Babita Bhagat
1- Professor, Department of Electronics and Communication Engineering, Sagar Institute of Research & Technology, Bhopal, Madhya Pradesh, India
2- Student, Department of Electronics and Communication Engineering, MIT Art, Design & Technology University, Loni Kalbhor, Pune, Maharashtra, India
3- Student, Department of Electronics and Communication Engineering, Symbiosis Institute of Technology, Mulshi, Pune, Maharashtra, India
This paper examines the development of digital dashboards (clusters) in electric vehicles (EVs) aimed at providing drivers with clear, real-time, and essential information. As EV adoption continues to rise due to government incentives and growing environmental awareness, the demand for an intuitive, user-friendly, and efficient dashboard has become increasingly important. An EV’s digital cluster displays crucial data, such as speed, battery level, estimated driving range, and energy consumption. Additionally, it incorporates features like navigation, warning alerts, and entertainment systems, ensuring drivers stay informed without being overwhelmed. Given the complexity of EV functionalities, including regenerative breaking and energy-efficient driving modes, the dashboard must present this information in a simplified and easily comprehensible manner. Moreover, this study provides a detailed, step-by-step approach to designing and implementing EV indicators using the QT simulator, a widely recognized tool for creating human-machine interfaces (HMI) in automotive applications. It offers valuable insights into the technical aspects of developing, displaying, and refining various dashboard components to enhance efficiency and user convenience. The research primarily focuses on developing an EV dashboard that is both functional and user centric. It explores various display configurations, customization options, and adaptability to driver preferences. Furthermore, it examines the integration of a newsfeed within the dashboard and elaborates on the process of designing EV indicators using the QT simulator, outlining the key steps involved in their creation and presentation.
Keywords: Electric vehicle, cluster design, human machine interface (HMI), QT simulator,
machine learning
Citation:
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