API-first fleet charging and routing integration platforms
Jul 31 – Oct 26, 2026Updated Oct 26, 2026
Reviewed by Dimitry Apollonsky
Which brands AI mentions
Mentioned in
ChatGPTChatGPTGoogle AI ModeGoogle AI Mode
- #1HEREChatGPT 74%Google AI Mode 88%
- #2tiedGeotabChatGPT 37%Google AI Mode 71%
- #2tiedTomtomChatGPT 79%Google AI Mode 0%
- #2tiedChargetripChatGPT 21%Google AI Mode 59%
- #5tiedChargePointChatGPT 37%Google AI Mode 24%
Questions and answers
Google AI ModeOct 26, 2026
Integrating EV charging sessions directly with route planning software requires APIs that
bridge vehicle telemetry (battery state of charge, consumption curves) with charging infrastructure data (plug types, real-time availability, and charging speeds) and advanced routing engines.The top platforms offering APIs explicitly built for combined EV routing and charging optimization fall into three categories: specialized EV routing APIs, enterprise mapping/navigation APIs, and comprehensive fleet management ecosystems.
1. Specialized EV Routing & Fleet APIs
- Chargetrip for Fleets:
- API Type: GraphQL API and web widgets.
- Capabilities: Purpose-built for commercial EV fleets. It manages heavy vehicle models (1,700+ commercial specs), real-time battery degradation, payload impacts, weather, and topography. It calculates optimal charging stops/times dynamically to minimize Total Cost of Ownership (TCO) and operational friction.
- Make My Day (via Geotab Marketplace):
- API Type: White-label solutions and direct APIs.
- Capabilities: Integrates deeply with telematics data (via Geotab ) to factor in real-time grid availability, local utility pricing, traffic patterns, and precise battery metrics to sequence charging stops seamlessly.
2. Mapping & Location Infrastructure APIs
- HERE Routing API (v8 - EV Routing):
- API Type: REST / v8 Routing REST API.
- Capabilities: Offers explicit
ev[makeReachable]parameters. It ingests custom connector types, vehicle charging curves, current state of charge (SoC), topography, and max charge preferences at stations to inject mandatory charging waypoints automatically into standard multi-stop delivery routes.
- Mapbox for EV:
- API Type: EV Routing API and EV Charge Finder API.
- Capabilities: Combines real-time charger availability (750,000+ points) with live telemetry and range prediction. It relies on precise battery consumption curves rather than generic averages to plot multi-stop routes with high accuracy.
3. Fleet Management Systems (FMS) with Open Ecosystems
- Samsara Fleet Software:
- API Type: Open API & Developer Platform.
- Capabilities: Highly rated for mixed-fleet tracking. While it tracks live SoC, diagnostics, and charging behavior out of the box, its open architecture allows routing software to pull telematics data via API to sync depot or en-route charging requirements with delivery schedules.
- ChargePoint Fleet Software Integration:
- API Type: Open API.
- Capabilities: Focuses heavily on depot and public charging infrastructure management. It connects external routing and dispatch engines with station availability, power prioritization, and dynamic pricing.
To help narrow down the best architectural fit, could you share:
- Are you looking for a developer-first mapping API (like HERE or Mapbox) to embed into custom software, or a turnkey fleet management platform (like Samsara or Geotab)?
- What is the average daily range/mileage of your regional delivery routes?
Sources cited in this answer8
- mapbox.comMapbox for EV | Advanced Navigation and Charging Solutions
- docs.here.comEV routing in HERE Routing API v8
- chargetrip.comRouting for EV fleet management | Chargetrip for fleets
- marketplace.geotab.comMake My Day | Geotab Marketplace
- docs.here.comGet routes for electric vehicles - HERE documentation
- mapbox.comElectric Vehicle Routing Available for Preview - Mapbox Blog
ChatGPTOct 26, 2026
For a regional delivery fleet, the best solution is usually an API platform that can connect EV charging, vehicle battery state, route optimization, and live charging availability to your existing dispatch software.
There are two distinct integration needs to consider:
- Charging-aware routing: Calculate routes that automatically insert charging stops and account for charging time.
- Charging-session integration: Retrieve session status, charger availability, charging progress, and vehicle readiness so dispatch can update routes when conditions change.
Several platforms support one or both of these workflows. Here are the strongest candidates based on their published API capabilities.
Platforms worth evaluating
1. TomTom
(Strong routing candidate)
Best for: Adding charging stops to existing route calculations.
TomTom's Long Distance EV Routing API automatically inserts charging stops using vehicle energy consumption and battery/charging parameters. Responses include individual route legs, charging time, and remaining battery charge. Its APIs also support waypoint optimization and traffic-aware routing.
Integration fit: Feed delivery destinations and vehicle battery specifications into TomTom, then pass the resulting route and charging-stop schedule to your dispatch system.
Documentation:
2. Chargetrip
(Strong EV integration candidate)
Best for: Building a custom EV routing layer into your existing software.
Chargetrip offers a GraphQL API for range-aware route planning, charger data, vehicle specifications, and charging-stop results. Its documentation also describes real-time route updates through WebSocket subscriptions, which can help when a route needs to be recalculated.
Integration fit: A good candidate if your engineering team wants to control how vehicle profiles, charging preferences, and route changes work together.
Documentation:
3. Shell EV
Best for: Connecting public charging operations with live dispatch.
Shell's APIs provide charging-location data, real-time charger availability, and session controls. The EV Public Charge Sessions API supports starting, stopping, and retrieving the status of charging sessions.
Integration fit: Pair Shell's charging APIs with your current route planner. Your software can monitor an active charging session and update a delivery ETA or dispatch assignment when charging takes longer than expected.
Important: Shell supplies the charging and session-management side; you should verify the routing engine and integration coverage for your region separately.
Documentation:
4. Mapbox
Best for: Custom routing and navigation experiences.
Mapbox's EV Routing API supports automatic charging-stop insertion, battery-state prediction, vehicle-specific parameters, and charger selection informed by availability. Its EV routing capability is documented as a private preview, so access and supported geography need confirmation.
Integration fit: Consider it if you want to build a custom driver app or integrate charging-aware navigation into your dispatch interface.
Documentation:
5. ChargePoint
Best for: Fleets that need charging management and route-system integration, especially for depot charging.
ChargePoint's fleet management platform supports API-based integration with third-party telematics, routing, dispatch, and maintenance systems. It also provides charging management and vehicle/charger visibility.
Integration fit: Worth evaluating when your main problem is coordinating vehicle readiness and charging operations with existing dispatch software.
Important: Confirm the specific API endpoints and partner access available for your intended workflow; the published integration overview does not establish that every routing function is available through a public self-service API.
Overview:
How they compare
Platform Automatic charging stops Live session management Best role TomTom Yes Separate integration needed Routing engine Chargetrip Yes Route updates; verify session controls separately EV routing layer Shell EV Pair with a routing API Yes Charging operations Mapbox Yes, subject to access Separate integration needed Custom navigation ChargePoint Verify exact routing API scope Charging management and fleet visibility Fleet charging operations Sources: official API documentation for TomTom, Chargetrip, Shell, Mapbox, and ChargePoint.
My recommendation for your fleet
I would shortlist TomTom, Chargetrip, and Shell EV first, because together they cover both route planning and the operational charging workflow.
A practical integration architecture would look like this:
Existing route planning & dispatch software
Delivery stops · Vehicle assignments · Time windows
Integration service / API layer
Vehicle data · Route updates · Session events · ETA recalculation
Routing API
TomTom or Chargetrip
Charging API
Shell EV or your charging network
Fleet execution
Drivers · Charging stops · Updated ETAs · Dispatch alerts
The key is to synchronize charging-session state with the route planner, rather than merely adding a charger as a static waypoint. For example, if a van needs another 15 minutes of charging, dispatch should be able to recalculate its ETA and determine whether the remaining delivery schedule is still feasible.
Three things to validate before choosing
- Vehicle support: Can the API model your delivery vans' battery capacity, energy consumption, connector type, payload-related consumption, and charging curve?
- Charging coverage: Does it cover the public networks and depot chargers your drivers actually use, including live availability and session status?
- Integration access: Are the required endpoints available in production, with suitable rate limits, commercial terms, and webhooks or polling options?
One question that would help narrow this down: What route planning software does your fleet currently use? For example, an existing TMS/dispatch platform, a custom-built planner, or a mapping API. That determines whether you should add an EV routing engine, a charging-session API, or both.
Sources cited in this answer16
- docs.tomtom.comLong Distance EV Routing | Long Distance EV Routing API
- docs.tomtom.comIntroduction | Long Distance EV Routing API
- tomtom.comRouting APIs | TomTom
- docs.tomtom.comLong Distance EV Routing | Long Distance EV Routing API
- developers.chargetrip.comDevelopers
- github.comGitHub - api-evangelist/chargetrip: Chargetrip provides an EV routing GraphQL API used by automakers and e-mobility services. It plans range-aware routes with charging stops, exposes a curated charge station database, an EV vehicle/consumption database, isolines (reachability), and operator data, with real-time route updates delivered over WebSocket subscriptions.
- Chargetrip for Fleets:
ChatGPTOct 16, 2026
For a regional delivery fleet, I’d focus on platforms that can connect EV charging operations, charger availability, vehicle range and energy consumption, and route optimization through APIs—not just platforms that display public charging stations on a map.
The key is to bridge two systems that often operate separately:
- Charging infrastructure: charger status, connector compatibility, charging sessions, site access, pricing, and energy availability.
- Route planning and fleet operations: vehicle range, payload, delivery windows, depot schedules, route sequencing, and charging stops.
Ideally, your integration layer should let the route planner determine when and where a vehicle should charge, while the charging platform reports whether that charging plan is actually feasible.
Platforms worth evaluating
These are the strongest starting points I found, split between charging-side integration platforms and route-optimization APIs. They are complementary rather than direct substitutes.
1. Flipturn
(Best charging-side fit)
Flipturn is worth shortlisting if your fleet has depot chargers and needs to coordinate charging with dispatch schedules. Its fleet offering describes API access to charging sessions, vehicle status and energy data, along with integrations for route schedules and departure times.
Why it fits: It targets the operational handoff between dispatch and charging, rather than just public-station discovery.
Validate: API access, supported charger brands, live data latency, and whether your route planner can submit charging requirements directly.
Documentation and product:
2. Shell Recharge
Shell's EV Private Locations API documents access to charging locations, sessions, tariffs, tokens and charge detail records through REST and GraphQL, secured using OAuth 2.0 client credentials.
Why it fits: A candidate when you need a structured API into private charging infrastructure, charging operations and cost data.
Validate: Whether your existing charging operator and hardware are supported, and which commands or real-time controls are enabled for your account.
Developer docs:
3. Google Maps Platform Route Optimization API
Google provides fleet-wide route planning APIs that optimize vehicle assignments and stop sequences around delivery windows, capacity, working hours and operating costs. It also supports asynchronous and batch optimization workflows.
Why it fits: A strong routing engine to pair with a separate charging API. Your integration layer can translate charger availability and energy requirements into additional route constraints.
Important caveat: Do not assume charging-aware routing is automatic. You may need to model charging stops and energy constraints yourself, or use an additional EV-routing service.
Developer docs:
4. Magic Lane
Magic Lane's Fleet Management REST API covers vehicle-routing optimization, order fulfillment and vehicle assignment. Its API documentation describes using fleet data and constraints to produce optimized routes.
Why it fits: Worth evaluating if you want a dedicated routing API that can sit alongside your charging-management system.
Validate: EV energy modeling, charger-stop planning, commercial-vehicle restrictions, and whether the API supports your fleet's required optimization constraints.
Developer docs:
5. OCPI
OCPI is an interoperability standard rather than a turnkey vendor platform. It defines interfaces for charging locations, sessions, tariffs, charge detail records and commands; supported functionality depends on the implementation.
Why it fits: Particularly valuable if you have chargers from multiple providers and want to avoid writing a different integration for every network.
Validate: Which OCPI version and modules each provider implements, whether private depot chargers are included, and whether the required commands are actually enabled.
Specification:
How I would connect the systems
For a regional delivery fleet, I would favor a modular architecture rather than tying the entire workflow to one vendor.
Fleet and dispatch system
Orders · Vehicle assignments · Delivery windows · Payload
Integration and optimization layer
REST APIs · Webhooks · Vehicle energy model · Charging-stop decisions
Route API
Route sequence, travel times, constraints
Charging API
Charger status, sessions, power and energy
Dispatch-ready plan
Feasible routes · Charge schedules · Updated ETAs · Exception alerts
The critical integration details are:
- Vehicle-level energy modeling: account for battery capacity, current state of charge, payload, weather and expected consumption.
- Live charging status: re-plan when a charger goes offline or a vehicle is charging more slowly than expected.
- Depot charging coordination: schedule charging around vehicle return times and next-day departures, including site power limits.
- Open interfaces: prioritize documented REST APIs, webhooks, versioning, clear rate limits and reliable authentication.
One useful technical distinction: OCPP primarily connects charging stations to their management system, while OCPI supports interoperability between charging-service providers and networks. Neither alone replaces the fleet route optimizer.
My recommendation
I would start with Flipturn plus Google Maps Route Optimization, provided Flipturn supports your existing charging hardware and the required API access. This offers a clear division between charging operations and delivery-route optimization. If you operate chargers across several providers, investigate OCPI compatibility early.
Before narrowing this to a final shortlist, one question will make the biggest difference:
What charging infrastructure are you trying to integrate?
1. Charging setup
Our own depot chargers
Public charging networks
A mix of depot and public charging
Multiple charger operators or a third-party charging management system
2. Route planning software
We already have route planning software and need to connect it
We are open to replacing our route planner
We are building a custom route-planning application
3. Approximate fleet size
1–25 vehicles
26–100 vehicles
101–500 vehicles
500+ vehicles
[Find the best-fit platforms]
Sources cited in this answer13
- getflipturn.comEV fleet charging management software | Flipturn
- developers.google.comWhat is the Route Optimization API | Google for Developers
- github.comGitHub - ocpi/ocpi: The Open Charge Point Interface (OCPI) allows for a scalable, automated roaming setup between Charge Point Operators and e-Mobility Service Providers. It supports authorisation, charge point information exchange (incl transaction events), charge detail record exchange and finally, the exchange of smart-charging commands between parties.
- getflipturn.comEV fleet charging management software | Flipturn
- developer.shell.comQuick Start Guide EV Private Locations API v2.2.1
- developer.magiclane.comOverview | Magic Lane
Google AI ModeOct 16, 2026
Bridging regional delivery routing software with underlying charging infrastructure requires
platforms that expose real-time telemetry, charger availability, vehicle state-of-charge (SoC), and energy-aware routing metrics.Leading platforms with robust APIs designed to connect EV charging networks, telematics, and route optimization include:
- Hubject (intercharge API / eRoaming) : As the world's largest international eRoaming network, Hubject provides robust APIs connecting Charging Point Operators (CPOs) and eMobility Service Providers (EMSPs). It allows route-planning software to query real-time public/depot charger availability, authorize sessions, and handle automated clearing/billing across mixed networks.
- Geotab (MyGeotab SDK / EV APIs) : Excellent if your regional fleet relies on mixed telematics or OEM-connected commercial vans and trucks. Geotab’s API exposes granular diagnostics—such as real-time
SoC,ChargeEventtracking, battery health degradation, and precise energy consumption per trip—which can be fed directly back into route planning engines to dynamically update remaining vehicle range. - Virta (Virta Global APIs) : Virta provides an end-to-end Charging Point Management System (Virta Hub) with deep API integration capabilities. Their platform is built to handle energy optimization, time-of-use pricing models, and smart charging control, allowing external dispatch or routing platforms to sync depot charging schedules with delivery logistics.
- PTV Developer Routing API : Specifically built for commercial and logistics transport, PTV’s routing API includes advanced EV truck/van modeling. It calculates accurate energy consumption profiles based on vehicle weight, payload, topography, and temperature, helping bridge spatial route planning with realistic battery constraints.
- HERE EV Routing API : A location-intelligence heavyweight that factors in real-time weather, vehicle payload, topography, and live charging network connector availability to dynamically insert optimal charging stops into multi-stop delivery routes.
To help narrow down the best architectural fit, could you share:
- Are your chargers primarily depot/private-fleet infrastructure, or do you rely heavily on public en-route charging?
- What route optimization or telematics software are you currently using on the backend?
Sources cited in this answer6
- hubject.comHubject | The world's largest international eRoaming network
- support.geotab.comElectric Vehicle Data Diagnostics and API User Guide | Geotab Support Center
- virta.globalEV fleet charging | Virta
- virta.globalVirta EV charging APIs
- ptvlogistics.comPTV Developer Routing API Enables Comprehensive EV Fleet Planning | PTV Logistics
- placematic.comHERE EV Routing API — Charging-Aware Routes | Placematic
Also asked as
- I'm looking for fleet management platforms that provide APIs for integrating charging session information directly into our existing route planning software for our regional delivery operations.