Our regional delivery fleet needs to integrate charging sessions with our existing route planning software to account for charging stops. Which platforms offer APIs for seamless integration between charging and routing?

Yes. For a regional delivery fleet, I’d separate the options into EV-aware routing APIs and charging-management APIs. The former decides where/when to stop; the latter can provide charger availability, session status, or charging control.

Strong API options

HERE Routing API v8 can calculate EV-reachable routes and automatically add charging stations. Its inputs can include connector types, charging curves, battery state and preferred charging brands, and the resulting route accounts for both driving and charging time.

TomTom's Long Distance EV Routing API is particularly explicit about the integration model: it returns charging stops as route legs, remaining battery at arrival, charging duration and charging-station details. It can also accept manually specified charging waypoints. TomTom Documentation TomTom Documentation TomTom additionally has an EV Search API providing static charger characteristics and dynamic availability, including connector, power and availability filters.

For a delivery operation, that means your existing route planner could effectively do:

Orders → route optimization → EV route calculation → charging stops → revised ETA/service times → dispatch

rather than treating a charging stop as just another arbitrary waypoint.

What I'd look for in an integration

For regional delivery, don't evaluate these APIs solely on whether they can find chargers. The important capabilities are:

• Vehicle-specific energy consumption — battery capacity, current SoC, vehicle weight, consumption curve.
• Charging-curve modeling — 20 minutes on a 350-kW charger isn't necessarily equivalent across vehicles.
• Charging time included in ETA — essential for delivery time windows.
• Multiple vehicles/route optimization — ideally compatible with your existing VRP/route optimizer.
• Private/depot chargers — important if trucks charge at your facilities.
• Live charger availability — avoid routing a vehicle to an unavailable stall.
• Manual charging stops — dispatchers should be able to override the automatically selected station.
• Re-routing during the day — traffic, SoC and charger availability can change.
• API-friendly output — ideally structured legs containing arrival/departure SoC and charging duration.

TomTom, for example, exposes vehicle parameters such as current charge, battery capacity, charging curve, consumption curve, vehicle weight and connector capabilities, which makes it possible to incorporate the actual fleet rather than using a generic EV model.

Practical architecture

If you already have route-planning software, I'd favor an API that can act as an EV-routing layer rather than replacing your optimizer:

Your optimizer → sends vehicle + stops + time constraints EV routing API → calculates energy consumption and charging stops Your optimizer → incorporates charging duration into the schedule Charging/telematics system → supplies actual SoC, charger status and session information Dispatcher → receives updated route/ETA

That architecture is especially useful if your existing system already handles driver shifts, delivery windows, vehicle capacity and multi-stop optimization.

If you tell me which route-planning software you're currently using (e.g. PTV, ORTEC, OptimoRoute, Route4Me, custom software, etc.) and roughly how many EVs/chargers you operate, I can narrow this to the APIs that can integrate with it most cleanly and compare their API capabilities and commercial models.

Integrating regional EV fleet charging sessions with existing route optimization software requires APIs that bridge telematics/energy forecasting (knowing vehicle state-of-charge and consumption) with charging network data (live availability, plug types, and speeds) and advanced routing logic (injecting mandatory charging stops).

Several developer platforms and enterprise fleet solutions offer robust APIs specifically designed for EV-aware routing and charging integration:

• Chargetrip API : Uses a specialized GraphQL API built exclusively for electric vehicle routing and energy prediction. It models specific commercial EV profiles, calculates context-based energy consumption, maps global charging stations, and allows custom "invisible bias" (e.g., programming the routing engine to prefer specific charging networks or partner depot stops).
• HERE Routing API (v8 EV Routing) : Extension of HERE's enterprise mapping and logistics suite that includes dedicated EV routing attributes. It calculates precise energy consumption per route leg and automatically injects optimal charging stations into the itinerary to ensure destinations are reached without depleting the battery, balancing overall travel time against charging duration.
• Mapbox EV Routing & Charge Finder APIs : Provides developer-focused APIs designed to embed EV range prediction, active station maps, and charging-aware directions directly into custom applications. Mapbox handles detailed vehicle consumption curves and real-time charger compatibility parameters.
• Shell EV API : Geared heavily toward commercial fleet operations, offering live charging point availability (distinguishing available, occupied, or offline chargers) alongside remote session control (programmatically starting/stopping charging sessions as route plans update dynamically throughout the day).
• Geotab API & Telematics : While primarily a fleet management and telematics ecosystem rather than a pure map-routing engine, Geotab surfaces rich, real-time data on vehicle State-of-Charge (SoC), battery health, and duty cycles. It integrates seamlessly into broader logistics stacks to feed live vehicle status back into dispatch and routing layers.
• Paren EV Fleet API : Aggregates data across Charge Point Operators (CPOs) to provide time-sensitive updates on public charger reliability, pricing, and amenities, helping eliminate closed-loop system limitations for regional fleets.

To help narrow down the best fit, tell me:

• What current route planning software are you using (e.g., Custom stack, Trimble, ORTEC, RouteXL)?
• Are your vehicles utilizing public charging networks, owned/depot infrastructure , or a mix of both?

Yes. For a regional delivery fleet, I’d separate the market into EV-aware routing platforms and charging-management platforms. The strongest integrations generally combine the two rather than expecting a charging-network API to solve route optimization by itself.

Strong candidates

My recommendation

For an existing route-planning system, TomTom + your existing telematics/charging platform is probably the cleanest architecture if the main problem is “where and when should the vehicle stop to charge?” TomTom's API can return the charging stops as part of the route, including charging duration and battery state, so your planner can treat a charge as another route leg/service stop rather than bolting on a separate ETA calculation.

If you also need to initiate/control charging and receive actual session status, Monta is particularly interesting. Its current developer platform exposes fleet charging, session data, charge-point controls and webhooks, and supports OCPP/OCPI integrations.

A practical architecture would be:

Route planner → EV routing API → charging-stop candidates → dispatch plan → charging platform → live session/SoC → route replanning

That lets the system distinguish between planned charging (e.g., “stop at station X for 27 minutes”) and actual charging (e.g., “vehicle arrived, session started, battery is only 58%, extend stop and recalculate ETA”).

One particularly useful TomTom feature is its configurable minimum SoC and charging-stop parameters, which gives a fleet planner control over the battery buffer rather than treating charging as a generic waypoint.

If you tell me what route-planning software you're already using (e.g. PTV, HERE, ORTEC, Google, custom software), I can narrow this to the APIs that integrate with it most cleanly and compare API capabilities, charging-network coverage, webhooks, and likely integration effort.

Integrating electric vehicle (EV) charging logic directly into legacy or custom route-planning software requires specialized APIs that merge battery consumption analytics, topographical data, and real-time charging station availability.

The primary platforms offering developer-ready APIs for combining charging-aware routing and fleet dispatch include:

1. HERE Technologies (via Placematic)
   • Core Capabilities: The HERE EV Routing API calculates energy-aware routes factoring in real-time weather, vehicle weight, topography, and speed profiles. It automatically inserts optimal charging stops based on plug type compatibility (CCS, Tesla, CHAdeMO), charging curves (e.g., 0-80% thresholds), and station power output.
   • Best For: Direct integration into custom-built dispatch and routing engines, paired with the HERE Tour Planning API for multi-stop commercial route sequencing.
2. Ampcontrol
   • Core Capabilities: Ampcontrol provides enterprise EV fleet software that bridges the gap between Transport Management Systems (TMS), route planning software, and live depot/on-road telematics. Their APIs focus heavily on merging route schedules with charge planning—predicting power availability, optimizing charging queues in real-time, and communicating constraints back to dispatchers.
   • Best For: Fleets that need to marry on-road routing constraints with heavy depot-level power and energy management.
3. Geotab
   • Core Capabilities: While primarily a telematics giant rather than a pure map-routing engine, the Geotab Platform offers robust APIs exposing real-time State of Charge (SoC), battery health, and charging session metrics. Many third-party routing tools pull live vehicle data via Geotab’s MyGeotab API to dynamically recalculate remaining range during active delivery runs.
   • Best For: Fleets already using Geotab hardware that need to feed real-time vehicle telemetry into an existing routing software layer.
4. Paren
   • Core Capabilities: Paren specializes in EV infrastructure data and developer APIs tailored for fleet operators. Their Notification and Data APIs allow systems to track live station status, plug availability, and disruptions, helping fleets match vehicle energy needs with preferred public or private charging partners.
   • Best For: Overlaying real-time station operational data onto an existing routing map interface.

To help narrow down the best architecture, could you share:

• What route-planning software or TMS are you currently using?
• Are your charging stops primarily public infrastructure or return-to-depot?

Yes. For a regional delivery fleet, I’d focus on platforms that expose EV-aware routing APIs, rather than treating charging stations as ordinary POIs. The strongest options I found are:

1. HERE Technologies

HERE's Routing API v8 is probably the most flexible choice if your existing route planner is custom. Its EV routing can calculate energy consumption, track state of charge, model the vehicle's charging curve, estimate charging time, and automatically insert charging stations when necessary.

Importantly for your use case, you can also supply or modify charging stops yourself—for example, if your fleet has preferred depot chargers or contracts with particular CPOs.

HERE also has separate EV charge-point APIs, so your integration can effectively be:

existing route plan → HERE EV routing → charging stops/ETAs → feed enriched route back to dispatch software.

2. TomTom

TomTom's Long Distance EV Routing API is particularly attractive if you want the routing service itself to decide where and when vehicles should charge.

It takes vehicle consumption/charging characteristics and produces a route with automatically added charging stops. Each stop becomes an additional route leg, with charging information and remaining charge; the overall response includes total charging time.

It can also account for traffic and typical road speeds, which is useful for realistic delivery ETAs.

TomTom separately offers EV Search/charging-station APIs, including charging availability data, so you can build a more dynamic workflow around charger availability.

3. Motive

If your primary requirement is integrating charging-session/vehicle data into an existing fleet-management environment, rather than replacing your routing engine, Motive's Open API is worth evaluating. It exposes vehicle, location and operational data for integrations with external platforms.

I'd view Motive differently from HERE/TomTom: Motive is more of an integration/telematics layer, whereas HERE and TomTom provide the actual EV route-and-charge optimization.

What I'd choose for your architecture

For a delivery operation, I'd shortlist HERE and TomTom first.

A robust integration would look like:

1. Your route planner produces the delivery sequence.
2. Send vehicle parameters to the EV routing API: battery capacity, current SOC, consumption, connectors, minimum arrival SOC, etc.
3. API determines whether charging is required and inserts optimal charging stops.
4. Your system receives charger location + arrival/departure time + charging duration + projected SOC.
5. Treat the charging stop as another route activity in your dispatch system.
6. During the route, update SOC/traffic/charger availability and re-optimize when necessary.

HERE explicitly supports detailed charging-curve and charging-time parameters, while TomTom exposes battery and charging parameters such as current charge, battery curve, consumption and connector types.

For a regional delivery fleet with many vehicles and frequent multi-stop routes, I'd lean HERE if you need maximum control and integration flexibility; I'd lean TomTom if you want a more turnkey EV routing service.

If you tell me what your existing route-planning software is (e.g. PTV, ORTEC, OptimoRoute, Routific, custom, etc.), I can narrow this down to the APIs that can integrate with it directly and sketch the recommended data flow.

existing route plan → HERE EV routing → charging stops/ETAs → feed enriched route back to dispatch software.

2. TomTom

TomTom's Long Distance EV Routing API is particularly attractive if you want the routing service itself to decide where and when vehicles should charge.

It takes vehicle consumption/charging characteristics and produces a route with automatically added charging stops. Each stop becomes an additional route leg, with charging information and remaining charge; the overall response includes total charging time.

It can also account for traffic and typical road speeds, which is useful for realistic delivery ETAs.

TomTom separately offers EV Search/charging-station APIs, including charging availability data, so you can build a more dynamic workflow around charger availability.

3. Motive

If your primary requirement is integrating charging-session/vehicle data into an existing fleet-management environment, rather than replacing your routing engine, Motive's Open API is worth evaluating. It exposes vehicle, location and operational data for integrations with external platforms.

I'd view Motive differently from HERE/TomTom: Motive is more of an integration/telematics layer, whereas HERE and TomTom provide the actual EV route-and-charge optimization.

What I'd choose for your architecture

Integrating EV charging sessions with existing routing and dispatch software requires APIs that can ingest vehicle telematics (like real-time State-of-Charge or SoC ), recognize commercial vehicle limitations, access live charging station status, and compute energy consumption constraints.

Several key platforms offer robust APIs capable of bridging the gap between charging networks and route planning:

• HERE Technologies (EV Routing API) : Part of the broader HERE Routing API , HERE provides specialized EV routing capabilities. Their API lets you input vehicle battery parameters (initial/max capacity, current SoC), connector compatibility, and cargo/weight constraints. It outputs multi-stop itineraries detailing exact charging stop locations, charging duration times, and the estimated battery percentage upon arrival at each leg.
• Chargetrip (API for EV Routing & Station Mapping) : Chargetrip offers an enterprise-grade developer platform specifically engineered around electric vehicle physics and routing. Their APIs cover real-time vehicle connectivity (pulling live SoC), isoline range mapping, global charging station data, and emissions tracking. It is built to seamlessly drop into external navigation or custom dispatch software.
• Geotab (EV Fleet Management & Marketplace Solutions) : Geotab provides powerful telematics and specialized extensions like EV Charging Optimization via the Geotab Marketplace . Their platform tracks live vehicle location, health, and energy consumption, offering API access to match vehicle battery profiles with realistic route requirements and charging availability.
• Paren (EV Fleet Charging Infrastructure API) : Paren focuses heavily on station reliability metrics and real-time network status. Their smart routing and notification APIs allow fleet management systems to filter out unreliable chargers and automatically pivot a route if a designated charging station experiences a disruption or outage.

To help narrow down the best platform for your architecture, could you share:

• What route planning or telematics software are you currently using?
• Are your vehicles light-duty vans or heavy commercial trucks?

Yes. For a regional delivery fleet, I’d focus on platforms that expose both EV-aware routing and charging data/logic through APIs, rather than trying to bolt a charger API onto a conventional route engine.

Strongest options

• HERE Technologies — HERE Routing API v8

• Particularly strong for your use case.

• Its EV routing can automatically insert charging stops, calculate battery consumption/state of charge, model charging curves and charging time, and optimize total driving + charging time.

• You can also specify your own charging stops and combine them with automatically selected stops, which is useful if your fleet has depot/private chargers.

• Best fit: fleets that want to feed charging-aware route legs directly into an existing TMS/route optimizer.

• TomTom — Long Distance EV Routing API

• Automatically adds charging stops based on the vehicle's consumption and charging model. The response exposes separate route legs, remaining charge at arrival, and total charging time.

• TomTom also has separate EV Search and real-time charging-station availability APIs, so you can combine routing with charger availability.

• Best fit: organizations wanting routing + current charger availability from one vendor.

• Mapbox — EV Routing

• Mapbox's Directions API now has an EV Routing private preview that predicts state of charge and automatically adds charging stops with recommended charge time/level.

• Best fit: teams already using Mapbox and comfortable with a private-preview EV capability.

• Chargetrip

• More EV-specialized than a general mapping provider. Its fleet solution calculates charging requirements for specific vehicles/routes and can use live SOC from telematics to adjust charging stops and dispatching. It has an integration with Geotab.

• Best fit: an existing fleet-management/telematics environment where EV optimization should sit alongside dispatch.

Also worth evaluating

• Geotab ecosystem / EV Charging Optimization — Geotab's marketplace includes solutions that use vehicle, grid, charging-station, schedule, weather and traffic data to optimize charging and routes; some expose the functionality as an API/white-label solution.
• ArcGIS Routing — excellent if your existing route planner is GIS-heavy. Its routing service supports vehicle-routing/last-mile optimization, although it isn't as turnkey for EV charging-stop optimization as HERE or TomTom.
• OptimoRoute — has a solid API for importing orders, starting optimization and retrieving planned routes, but you'd likely need a separate EV-routing/charging engine rather than getting the complete charging-aware calculation natively.

What I'd shortlist for your fleet

*Mapbox EV Routing is currently a private preview.

My first two technical evaluations would be HERE and TomTom. Both let your existing software ask something conceptually like:

vehicle + current SOC + stops + battery model + connector requirements → route + charging stops + charging duration + resulting SOC

That is much cleaner than having your route planner independently query charger locations and then try to estimate whether the vehicle can actually reach each charger.

If you tell me what route-planning/TMS software you're currently using (e.g. Route4Me, OptimoRoute, custom software, ArcGIS, etc.) and roughly how many vehicles, I can narrow this to the 2–3 APIs that would integrate most cleanly with your existing stack.

Integrating EV charging session data with existing routing and fleet management software requires APIs that can ingest vehicle telematics (state of charge, consumption models), public/depot charger availability, and energy-aware routing logic.

Several tier-one mapping, telematics, and EV energy platforms provide robust APIs for this exact integration:

1. Mapping & Location-Based Routing APIs

• HERE EV Routing API: HERE Technologies offers specialized commercial EV routing capabilities within its location platform. Their API calculates energy consumption based on specific vehicle profiles, topography, and load, automatically injecting optimized charging stops, connector compatibility, and real-time charging network availability into custom logistics workflows.
• Mapbox EV Routing: Mapbox provides developer-friendly navigation and routing APIs that support custom vehicle constraints, energy consumption profiles, and waypoint integration for multi-stop commercial routing.

2. Fleet Telematics & EV Optimization Platforms

• Geotab (MyGeotab API & EV Solutions): Geotab tracks deep OEM and hardware-agnostic vehicle data (battery health, state of charge, on-board charger statistics). Through the MyGeotab SDK and partner ecosystem (such as integrated EV Charging Optimization add-ins), developers can pull real-time telematics and route-planning insights via API.
• Paren API: Paren provides an API gateway purpose-built to bridge the EV ecosystem with fleet management systems. It supplies time-sensitive data on public charging station availability, reliability metrics, pricing, and amenities—allowing dispatchers to filter out unreliable chargers and schedule reliable on-the-road stops.

3. Charging Management Systems (CSMS) with Open APIs

• AMPECO: AMPECO offers a white-label, hardware-agnostic EV charging platform with an API-driven architecture. It supports complex fleet use cases by exposing endpoints that integrate charging infrastructure telemetry, smart scheduling, and session costs directly with external ERP or routing tools.
• Driivz & ChargePoint: Both Driivz and ChargePoint Platform Software feature enterprise APIs designed to sync depot and public charging metrics, vehicle readiness status, and energy management data with commercial fleet tracking systems.

To help narrow down the best technical approach, let me know:

• Are you primarily looking for public en-route charging integration or depot-based return-to-base scheduling?
• What core route planning software is your fleet currently utilizing?

Integrating EV charging infrastructure with existing route planning software requires location and energy-aware APIs that factor in vehicle battery parameters, real-time charger availability, and topography.

Several prominent platforms offer specialized APIs designed to bridge the gap between commercial routing and EV charging logic:

• Chargetrip API
  • Overview: A dedicated GraphQL-based API built specifically for EV routing, range prediction, and station mapping.
  • Fleet Capabilities: Chargetrip features specialized commercial fleet routing tools. It includes consumption models for hundreds of commercial EV models, accounts for external variables like weather and elevation, computes precise energy use, and injects optimal charging stops into existing route chains while allowing you to plug in private or public station databases. Check details on the Chargetrip API.
• HERE Routing API (v8 EV Routing)
  • Overview: HERE’s enterprise-grade routing architecture includes native support for electric vehicle mechanics via its v8 endpoint.
  • Fleet Capabilities: By passing parameters like initial state-of-charge (SoC), target SoC at arrival, connector types, and charging curves (ev[makeReachable]=true ), the API automatically calculates required charging stops natively integrated into the journey time rather than blindly overlaying stations onto an ordinary truck route. Review technical implementation notes via the HERE EV Routing Documentation.
• Paren APIs
  • Overview: Paren focuses intensely on charging infrastructure data, reliability metrics, and real-time station operational status.
  • Fleet Capabilities: Rather than a turn-by-turn map router itself, Paren provides essential companion APIs (like Charge Now and real-time notification feeds) that filter out broken or unproven public chargers, giving your routing software a reliable whitelist of active stations to prevent driver downtime. Explore further on Paren for Fleet Operators.
• Geotab (Integrated Telematics & Routing APIs)
  • Overview: If your regional fleet already utilizes Geotab for telematics, their software ecosystem exposes rich developer APIs combining live vehicle telemetry (real-time battery degradation, state of health, and live SoC) with routing workflows.
  • Fleet Capabilities: Useful if you want the routing layer to pull live data directly from the vehicle CAN-bus to make highly accurate, dynamic stop calls mid-route.

To help narrow down the best architectural fit, could you share:

• What route optimization software are you currently using?
• Do your vehicles rely strictly on public charging infrastructure , or do you also manage depot chargers that need to be factored into the loops?

For a regional delivery fleet, you’ll usually want a platform that can do more than “find chargers.” The strongest integrations combine:

• EV-aware routing (battery state, vehicle consumption, payload effects)
• Automatic charging-stop insertion
• Charger compatibility (connector, power level)
• Charging duration estimates
• Fleet/TMS/dispatch API connectivity
• Real-time charger availability where possible

Platforms commonly used for this type of integration include:

How these typically integrate with route planning

A common architecture looks like:

1. Route optimizer/TMS sends

• vehicle ID
• battery state of charge (SoC)
• vehicle battery capacity
• payload/energy model
• delivery stops and time windows

2. EV routing API returns

• optimized route
• charging stops
• charger IDs and locations
• estimated arrival SoC
• charging duration
• updated ETA

3. Charging management platform feeds back

• actual charging start/stop times
• charger availability
• session completion status
• energy consumed

For delivery fleets, I would shortlist:

• HERE or TomTom if your primary need is route optimization with charging built in.
• Mapbox if you already have a custom navigation stack.
• Flipturn (or a similar fleet charging management layer) if the bigger challenge is coordinating depot charging sessions with dispatch.

A key evaluation question is whether your existing route planner already exposes APIs for vehicle constraints and time windows. If it does, you may only need an EV routing/charging API as an optimization layer rather than replacing your routing engine.