Primary operating owner
Head EV Product; Charging Network; Mobility Product
P27 · Representative solution case · Automotive / EV / Energy
EV Navigation, Charging & Range Intelligence
Where do drivers abandon or reroute trips because range and charging certainty break down?
Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.
01 · Operating context
The decision environment and the problem to change
EV drivers and fleets face charging uncertainty, range anxiety and fragmented charger/vehicle data.
Economic decision
CTO; COO; EV Business Head
Technical influence
Battery/BMS; Navigation; Charging Platform; Data
Why action becomes urgent
EV model launch, charging network expansion, fleet electrification, battery swapping, range complaints, interoperability programme.
02 · Before and after
Change the operating model, not only the interface
Fragmented context and delayed action
EV drivers and fleets face charging uncertainty, range anxiety and fragmented charger/vehicle data.
- Location, operational and enterprise data remain separated
- Stakeholders make inconsistent decisions from partial context
- Exceptions are found late and evidence is difficult to reconstruct
A governed location-aware decision loop
EV-aware routing, charger discovery/availability, range and energy estimation, battery/vehicle telemetry, trip planning and charging network analytics.
- One role-aware workspace in Mappls EV Mobility Cloud
- Live context moves directly into the responsible workflow
- Every decision, scenario and outcome can be measured and audited
03 · Stakeholder experience
One shared system, different role moments
Own and govern
Head EV Product
Own and govern
Charging Network
Decide and coordinate
Mobility Product
Decide and coordinate
CTO
Decide and coordinate
COO
Execute and verify
EV Business Head
Execute and verify
Battery/BMS
Execute and verify
Navigation
Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.
04 · Day-in-the-life journey
How the solution turns information into an operational result
Frame the operating decision
What BMS/vehicle signals are available? Are charger status feeds live? Which routing and range KPIs define trust?
Connect the location foundation
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed EV Cloud workspace.
Act through role workflows
Trip energy, Charger network, Fleet charging, Demand planning give each stakeholder the information, decision and action appropriate to their role.
Prove the intervention
City/intercity cohort with live charger feed, EV routing and predicted-vs-actual energy comparison.
Scale and continuously improve
Operationalise the model through Per-vehicle/API subscription + platform licence + integration., adoption governance, service measurement and a managed improvement backlog.
05 · Solution and data architecture
The Mappls capabilities behind the experience
Location foundation
Map, address, place, route, imagery, boundary and context layers
Operational context
Customer, asset, order, sensor, incident, task or transaction records
Application workflow
Trip energy · Charger network · Fleet charging · Demand planning
Outcome loop
Charger match/availability quality; ETA/range error within agreed threshold; target trips completed; production data feeds agreed.
Standard 2D Map & Road Data
Road network, attributes, administrative boundaries and cartography
Product detailsClarityX Location Analytics
Market, territory, network and spatial decision analytics
Product detailsGeo-demographics & Custom Data
Population, market, administrative and customer-enriched location layers
Product detailsRouting & Distance Matrix
Car, truck, two-wheeler, pedestrian and multimodal routes
Product details06 · Outcome and evidence
Make the value claim measurable before scaling
Bounded proof
City/intercity cohort with live charger feed, EV routing and predicted-vs-actual energy comparison.
- Confirm the baseline and decision scope: What BMS/vehicle signals are available? Are charger status feeds live? Which routing and range KPIs define trust?
- Use representative and, where approved, customer data in the configured workspace
- Review measurable success with the operating and economic owners: Charger match/availability quality; ETA/range error within agreed threshold; target trips completed; production data feeds agreed.
- Document data quality, adoption, security, service and scale findings
- Convert evidence into a phased production scope and accountable value plan
07 · Governance and scale
Operate the solution safely and sustainably
Identity and access
Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.
Data governance
Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.
Operating governance
Named process owners, exception SLAs, escalation, change control and adoption measurement.
Value governance
Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.
Your outcome, powered by Mappls
Put EV Navigation, Charging & Range Intelligence into your operating context
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.