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51 <br /> Electric Vehicle Transition Plan&Charging Infrastructure Evaluation for County Fleet RFQ 367-005463 <br /> Response to Request for Qualifications November 5,2025 <br /> Site or Depot Information <br /> • Current parking location and ownership • Information on any existing/planned electrical <br /> (leased/owned) upgrades <br /> • Layout of the depot (AutoCAD) • Current fueling site (if any existing ZEV infrastructure) <br /> • Electrical capacity • Maintenance practice <br /> • Last 12 months of utility billing and usage data • Single line diagrams <br /> R14 We understand there are vehicles with telematics data that will be available to the project <br /> team. Telematics systems collect detailed fleet and vehicle operation information, vital for <br /> understanding specific duty cycles (e.g., daily mileage, idling hours, use of PTOs, dwelling <br /> ° time), real-world energy consumption (e.g., miles per gallon or kilowatt-hours [kWh]/mile), <br /> driving patterns (e.g., acceleration, deceleration, speed-time trace), and engine operational <br /> characteristics (e.g., maximum torque, engine rpm, and power). Once data becomes available, the ICF <br /> team typically conducts an analysis of the telematics data to extract essential information required for <br /> determining the most cost-effective EV replacement and to inform the EV charging infrastructure planning <br /> in the following tasks. Depending on data granularity, we aim to extract information such as daily mileage, <br /> real-world fuel economy, EV equivalent energy consumption (i.e., how much energy an equivalent EV <br /> would consume for the same type of operation), and vehicle dwelling time and locations. The ICF team <br /> leverages the telematics data for vehicles which have it to gain insights and prioritize the specific duty <br /> cycles that are most appropriate for transitioning to EVs. Although it may only represent a subset of the <br /> County fleet, this data can provide valuable insights into typical operations of various department vehicles <br /> within the County fleet. <br /> In addition to FASTER data collection and processing, the ICF team will conduct up to three interviews with <br /> County departments to further collect information on fleet operations and obtain insights into the typical <br /> range of operating conditions for the vehicles, which may not be available or obvious within the data <br /> provided, and to better understand future fleet needs. The ICF team uses time in these interviews to <br /> develop a comprehensive understanding of the real and perceived barriers to electrifying County fleet <br /> vehicles, existing plans or experience with EV fleet transition, distinct challenges departments are facing, <br /> and the operation of any specialty vehicles. The data solicited and information collected from interviews <br /> with the fleet managers and/or drivers on future fleet needs is used to create an initial, business-as-usual <br /> vehicle replacement schedule. <br /> The ICF team is set to use the available vehicle replacement schedule and capital budget to construct an <br /> actionable vehicle replacement plan which meets the County's goals of full EV adoption by 2035 as <br /> technology permits. We understand the cyclical nature of the government fleets vehicle replacements, <br /> typically taking place every 7 to 10 years, as orchestrated through their fleet capital plans and contingent on <br /> vehicle availability. The ICF team will leverage information collected from the County and combined with <br /> our expertise on fleet vehicle turnover algorithms (based on vehicle purchase cost, maintenance cost, and <br /> condition) to determine the most appropriate vehicle replacement schedule for existing vehicles. <br /> For medium and heavy-duty vehicles, ICF collects a variety of operational and usage-related requirements <br /> needed to provide tailored recommendations for ZEV which will satisfy existing fleet needs. This includes <br /> details like payload or towing capacity, truck configuration (box, stake-bed, tractor, bucket, etc.), auxiliary <br /> loads and specialty applications. These criteria can later be used to filter our proprietary EV Model library to <br /> find vehicles which meet the specific requirements of the fleet. <br /> CONFIDENTIAL 16 <br />