• PSA plans for successful ZET adoption in India
  • By laying out a technical strategy for adopting Zero Emission Trucks (ZETs), India has made great progress toward the electrification of trucks. The Consultative Group on eMobility (CGeM) plan, created by the Office of the Principal Scientific Adviser in August of the previous year, calls for conducting field research, cataloguing the nation’s current truck landscape, accelerating product development, developing tools to support the execution of successful pilot projects, and identifying and modifying regulatory requirements.
  • The roadmap highlights the technological requirements required for India’s successful adoption of ZETs. It provides a thorough methodology for each of these processes, including techniques, involved parties, rough deadlines for the smaller activities, and a total budget allotment. The estimated cost of carrying out this strategy over a four-year period is Rs 850 crores.
  • Creating the right product is a crucial requirement for effectively adopting battery electric trucks (BET). The Indian trucking industry differs from international standards due to its unique features. It is essential to start testing a variety of transportation routes because of the different geographic terrain, cargo types, road conditions, loading techniques, and vehicle profiles. To fully map the differences among these important freight corridors, considerable on-field analysis is required. The document outlines the tasks included in this research’s complete plan. These include identifying the main freight corridors, gathering data from these routes, carefully analysing them, and ultimately shortlisting at least ten possible pathways that are appropriate for pilot projects.
  • The plan for developing a Driver Rating Application (DRA) using information gathered from freight trucks is also described in the publication. This ground-breaking program aims to provide quantitative and qualitative evaluations of drivers’ behaviour, especially for BET drivers. Its goals include, among other things, determining links between driving habits and energy consumption, permitting comparisons of various driving styles over similar routes, and assessing drivers’ adherence to energy-efficient driving practices.