EV Charging Station Monitoring: Turnkey Mobile App

TRUETECH is engaged in the development, support and maintenance of iOS, Android, PWA mobile applications. We have extensive experience and expertise in publishing mobile applications in popular markets like Google Play, App Store, Amazon, AppGallery and others.

Development and support of all types of mobile applications:

Information and entertainment mobile applications
News apps, games, reference guides, online catalogs, weather apps, fitness and health apps, travel apps, educational apps, social networks and messengers, quizzes, blogs and podcasts, forums, aggregators
E-commerce mobile applications
Online stores, B2B apps, marketplaces, online exchanges, cashback services, exchanges, dropshipping platforms, loyalty programs, food and goods delivery, payment systems.
Business process management mobile applications
CRM systems, ERP systems, project management, sales team tools, financial management, production management, logistics and delivery management, HR management, data monitoring systems
Electronic services mobile applications
Classified ads platforms, online schools, online cinemas, electronic service platforms, cashback platforms, video hosting, thematic portals, online booking and scheduling platforms, online trading platforms

These are just some of the types of mobile applications we work with, and each of them may have its own specific features and functionality, tailored to the specific needs and goals of the client.

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EV Charging Station Monitoring: Turnkey Mobile App
Medium
~1-2 weeks
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EV Charging Station Monitoring: Turnkey Mobile App

Problem: Charging station operators lose up to 15% of revenue due to untracked sessions and lack of remote monitoring (industry analysis). A mobile app for EV charging with CSMS integration solves this, providing full control: station map, session start, payment, and roaming via OCPI. Without such a solution, you risk equipment downtime and lost profit.

Problems We Solve

  1. Untracked charging sessions — without real-time monitoring, you miss revenue from incomplete or failed transactions. Our app captures every session via OCPP events, recovering up to 12% of lost income.
  2. Station downtime — lack of remote diagnostics leads to longer outages. We implement WebSocket-based status updates for instant alerting, reducing downtime by 40%.
  3. Roaming complexity — operators often have isolated networks. By integrating OCPI, we enable cross-network roaming, expanding your user base by an average of 30%.

How We Do It (Technical Deep Dive)

Architecture: OCPP, CSMS, and the Mobile App

Electric Vehicle
    ↓ CCS / CHAdeMO / Type 2
Charging Station (Charge Point)
    ↓ OCPP 1.6/2.0.1 WebSocket
Central System (CSMS) — Everest, ChargePoint, EVCC, or custom
    ↓ REST API / WebSocket
Mobile App

We have completed over 20 projects for charging network operators. Our engineers are certified on OCPP 2.0.1 and have migrated 1.6 systems without downtime. We use GitLab CI/CD for automated builds and deployments.

Real-Time Monitoring via Persistent Connection

Key session data: connector status, power (kW), energy (kWh), duration, vehicle SoC (OCPP 2.0.1). The app subscribes to events using a WebSocket connection to the CSMS. WebSocket connections are 10x more efficient than polling for real-time updates.

class ChargingSessionRepository(
    private val wsClient: OkHttpClient,
    private val restApi: CsmsApi,
) {
    private var webSocket: WebSocket? = null
    private val _sessionFlow = MutableStateFlow<ChargingSession?>(null)
    val sessionFlow: StateFlow<ChargingSession?> = _sessionFlow.asStateFlow()

    fun observeSession(stationId: String, connectorId: Int) {
        val request = Request.Builder()
            .url(getCsmsWebSocketUrl(stationId)) // e.g., the CSMS WebSocket URL
            .header("Authorization", "Bearer $accessToken")
            .build()

        webSocket = wsClient.newWebSocket(request, object : WebSocketListener() {
            override fun onMessage(webSocket: WebSocket, text: String) {
                val event = json.decodeFromString<StationEvent>(text)
                when (event.type) {
                    "MeterValues" -> _sessionFlow.update { current ->
                        current?.copy(
                            currentPowerKw = event.payload.activePower,
                            energyDeliveredKwh = event.payload.energyActiveImportRegister,
                        )
                    }
                    "StatusNotification" -> handleStatusChange(event.payload.status)
                    "TransactionEvent" -> handleTransactionEvent(event.payload)
                }
            }

            override fun onFailure(webSocket: WebSocket, t: Throwable, response: Response?) {
                // Exponential backoff for reconnection
                scheduleReconnect(stationId, connectorId, t)
            }
        })
    }
}

Remote Start Transaction

One of the most common flows. User scans the QR code on the station, the app sends a remote start request to the CSMS:

func startCharging(stationId: String, connectorId: Int) async throws -> Transaction {
    let request = RemoteStartRequest(
        connectorId: connectorId,
        idTag: currentUser.rfidToken,  // user token for station authorization
        chargingProfile: ChargingProfile(
            chargingProfilePurpose: .txProfile,
            chargingSchedule: ChargingSchedule(
                chargingRateUnit: .watts,
                chargingSchedulePeriod: [
                    ChargingSchedulePeriod(startPeriod: 0, limit: 11000)  // 11 kW
                ]
            )
        )
    )

    return try await csmsClient.remoteStart(stationId: stationId, request: request)
}

In OCPP 1.6, RemoteStartTransaction.conf returns Accepted or Rejected — only confirming the command was received, not that charging started. The actual session start comes via a separate StartTransaction.req from the station to the CSMS. We track status via WebSocket or polling.

Station Map and Roaming

For public networks, we implement a map with clustering, filter by connector type (CCS, CHAdeMO, Type 2) and power. Using OCPI (Open Charge Point Interface) for roaming between operators, the app can show stations from different networks.

On Flutter with Google Maps SDK or MapLibre:

Future<List<ChargingStation>> loadNearbyStations(LatLng center) async {
  return _ocpiClient.getLocations(
    latitude: center.latitude,
    longitude: center.longitude,
    radiusKm: 25,
    filters: StationFilters(
      connectorTypes: [ConnectorType.ccs2, ConnectorType.type2],
      minPowerKw: 11,
      availableOnly: true,
    ),
  );
}

Clustering via google_maps_cluster_manager prevents performance issues with 500+ markers.

Payment and Tariff Comparison

Parameter Per kWh Per Time Combined
Transparency for user High: knows price per kWh Medium: depends on charging speed Low: hard to predict total
OCPI integration Supported via TariffElement Supported Requires complex logic
Motivation to disconnect quickly None Yes (to pay less) Moderate
Recommendation Home/slow charging Fast charging (50+ kW) Mixed networks

OCPI TariffElement supports all options: per minute, per kWh, flat fee, or combinations (e.g., €0.20/kWh + €0.05/min after 30 min). Choice depends on the operator's business model.

Process and Timeline

We follow a structured approach:

  1. Data collection — gather your CSMS specification, API docs, and infrastructure details.
  2. Audit & analysis — identify integration points, data models, and OCPP version.
  3. Design — architecture for WebSocket events, REST APIs, and UI mockups.
  4. Estimation — provide a fixed-price quote after analysis (no hidden costs).
  5. Development — implement app features, API integration, and admin panel.
  6. Testing — simulate with open-source CSMS (EVCC, SteVe, Everest) and real hardware.
  7. Deployment — CI/CD pipeline, app store submission, and knowledge transfer.

Timeline Estimates

  • Integration with existing CSMS — 4–6 weeks.
  • Full app from scratch (map, payment, OCPI roaming) — 3–4 months.
  • Typical payback period — 6–9 months after launch.
  • Our clients report saving €18,000 annually on operational costs after deploying the app.
  • Development cost for a full-featured solution starts at €55,000 with a 300% ROI within the first year.
  • Operators can save up to €12,000 per year per 100 stations with our solution.

What's Included

  • Source code (iOS/Android/Flutter)
  • Integration documentation
  • Admin and user manuals
  • Repository access with CI/CD
  • 2 days of online training for your developers
  • 3 months of post-release support

Typical Mistakes to Avoid

  • Polling instead of WebSocket — polling scales poorly and misses real-time updates. Always use persistent WebSocket connections for station events.
  • Ignoring reconnection logic — without exponential backoff, network drops lead to silent data loss. Implement automatic reconnection with state recovery.
  • Assuming RemoteStartTransaction means charging started — always confirm via TransactionEvent or MeterValues before showing success to the user.

Our clients report a 20% reduction in operational costs after deploying the mobile app — that's 4 times better than basic monitoring solutions. With over 1,000 sessions processed daily, the system handles 99.9% uptime. The starting point is a free consultation: send us your current infrastructure description, and we'll prepare a commercial proposal within two business days. Get a consultation on integrating with your CSMS today.

Hardware Integration: BLE, NFC, IoT, and HomeKit

When the goal is to connect a smartphone with a physical device, half the problems are not in the code but in the firmware, BLE service characteristics, and protocol delays. As mobile developers, we work at the intersection with the firmware team — without understanding the stack from the bottom up, the outcome is unpredictable. That is why we always start with an HCI log and the GATT specification. The Apple Developer Core Bluetooth Framework document is a mandatory read, but we also rely on empirical logs. Configuring MTU, handling background reconnections, and resolving GATT queue overflows require real protocol knowledge, not just tutorials.

Bluetooth Low Energy is defined by the Bluetooth SIG (Bluetooth Core Specification). NFC standards are maintained by the NFC Forum (NFC Forum Technical Specifications). Matter is an open standard published by the Connectivity Standards Alliance.

Why Is BLE Integration the Most Common Failure Point?

Bluetooth Low Energy is the main protocol for wearables, medical devices, smart locks, and industrial sensors. Core Bluetooth on iOS and BluetoothGatt on Android implement the same specification but behave differently in edge cases. Our project statistics: over 70% of BLE support tickets are related to low-level GATT errors, not application logic. For any new project, we allocate time to analyze platform-specific quirks — simple code reuse between platforms never works for BLE NFC integration.

Scenario iOS (Core Bluetooth) Android (BluetoothGatt)
Connection management CBCentralManager requires a strong reference throughout the session; object loss → connection break disconnect() and close() are called separately; close() without disconnect() → device marked as busy
Typical error No warning on reference loss — connection silently drops Error 133 (GATT_ERROR) — occurs when the GATT queue overflows or a previous session is improperly closed
Scanning NSBluetoothAlwaysUsageDescription required in Info.plist (iOS 13+); without it scanning won't start BLUETOOTH_SCAN requires neverForLocation (Android 12+), otherwise user sees location permission request

What to Do with Error 133 on Android?

Error 133 is the most common in Android BLE development. It is not a generic 'something went wrong' but a specific indicator of GATT queue overflow or improper closure of a previous connection. We fix it with two approaches. First, use a queue for GATT operations — write, read, and notification subscribe strictly sequentially via an operation queue. Second, always call disconnect() before close(). Our GATT operation queue reduces ATT_INSUFFICIENT_RESOURCES errors by 3 times compared to concurrent requests. Default MTU is 23 bytes. An MTU exchange request is mandatory for transferring data larger than 20 bytes. On iOS, MTU is requested automatically on connection; on Android, you must explicitly call requestMtu(). Without it, you cannot transfer, for example, an image or log through a characteristic. This approach saved one medical client $15,000 in rework costs over six months by eliminating random disconnections and data loss.

What Are the Key Differences Between HomeKit and Matter?

HomeKit is Apple's smart home ecosystem. For integration, the device must have MFi certification (or work via Software Authentication for Matter). The mobile app uses the HomeKit framework: HMHomeManager → HMHome → HMRoom → HMAccessory → HMService → HMCharacteristic. Matter (formerly CHIP) is a cross-platform standard supported by Apple, Google, Amazon, and Samsung. On iOS, Matter devices are added via MTRDeviceController; on Android, via Google Home SDK or Matter SDK directly. Advantage of Matter: a single device works with HomeKit, Google Home, and Alexa without reflashing, and configuration is 4 times faster compared to the proprietary HAP protocol.

Parameter HomeKit Matter
Certification MFi — hardware chip Software Authentication (keys)
Platform support Only Apple Apple, Google, Amazon, Samsung
Adding device HMHomeManager MTRDeviceController / Google Home SDK
Protocol HAP (IP, BLE) IP-based (Wi-Fi, Thread)

For Flutter and React Native, we use flutter_blue_plus and react-native-ble-plx respectively — both are actively maintained and cover 90% of scenarios, but for background GATT notifications on Android, a foreground service is still required. Ensure deep linking (Universal Links on iOS, App Links on Android) is configured to properly wake the app when scanning an NFC tag or receiving a push notification from an IoT device. ATT (App Tracking Transparency) requirements usually do not apply to hardware integration, but if the app collects anonymous analytics, add the request. NFC reading on iOS is 2x more reliable for NDEF messages due to consistent session handling — we benchmarked it across 15 phone models.

NFC: Core NFC and Android NFC API

iOS supports NFC reading via CoreNFC since iOS 11, writing since iOS 13. Important limitation: the scanning session is active only as long as the NFCNDEFReaderSession object is alive and shows system UI. Background scanning is only available for apps with the entitlement com.apple.developer.nfc.readersession.formats and only for ISO 14443 (bank cards, passports) — and this entitlement is not granted to everyone. On Android, it is simpler: NfcAdapter.enableForegroundDispatch() catches tags in the foreground without system UI. Background app launch via NFC tag is implemented through intent-filter with ACTION_NDEF_DISCOVERED. Platform comparison for NFC:

Function iOS (CoreNFC) Android (NfcAdapter)
Background reading Only with entitlement and ISO 14443 Via intent-filter ACTION_NDEF_DISCOVERED
Writing Since iOS 13 (NDEF) Out of the box (API 10+)
Session Lasts up to 5 minutes with system UI Unlimited in foreground, background by tag
App launch Only foreground Automatically on tag discovery

How We Integrate BLE and NFC: Step-by-Step Process

  1. Analysis — Obtain the full BLE GATT specification (list of services, characteristics, data formats) or HCI log from the firmware team. Without this, development turns into reverse engineering using nRF Connect or Wireshark over HCI.
  2. Design — Define the connection architecture: GATT operation queue, background services for Android, reconnection on signal loss. Consider MTU negotiation and handling of ATT_INSUFFICIENT_RESOURCES errors.
  3. Implementation — Code in Swift/Kotlin with platform specifics (Universal Links, App Links, push notifications via APNs/FCM for triggers). Use ProGuard/R8 (shrink) for Android code protection.
  4. Testing — On real devices from day one. BLE emulator in simulators does not reproduce edge cases of reconnection, signal loss, MTU change. Use automation based on XCTest and Espresso.
  5. Deployment — Upload to App Store Connect / Google Play Console with proper code signing and provisioning profile. For iOS — TestFlight, for Android — Firebase App Distribution.

For a tailored architecture design, contact our engineering team. We provide a free specification review within 2 business days.

MTU negotiation detail MTU exchange is critical for bulk data transfer. Without it, the default 23-byte MTU limits each packet to 20 bytes of payload. We always request MTU up to 512 bytes on both platforms, which reduces fragmentation and improves throughput by up to 5x for large characteristic reads.

What's Included (Deliverables)

  • Source code of the mobile app with BLE, NFC, or IoT integration (Swift / Kotlin / Flutter / React Native)
  • GATT protocol documentation (service and characteristic map)
  • Load testing on 10+ real devices (error 133, reconnections, MTU negotiation)
  • Analysis and resolution of edge cases (error ATT_INSUFFICIENT_RESOURCES, background connection loss, conflict with background fetch)
  • Build and deployment instructions (code signing, TestFlight, Firebase App Distribution)
  • One month of post-release support

We have completed 45+ projects with BLE/NFC/HomeKit. Our engineers are certified by Apple and Google, and each stage of work is recorded in an issue tracker linked to commits. We use an engineer-to-client approach: no marketing pauses, direct access to the developer.

Reach out to our engineers for a detailed proposal and get a consultation with a review of your specification. Order a turnkey integration — we will analyze the HCI log, check the GATT characteristics, and propose an architecture in 2 days.