Optimisation of existingcharging systems
Efficient use and expansion of existing infrastructure
Why existing systems need to be rethought
Decisions with foresight
While target network planning designs new systems, optimisation focuses on making existing charging infrastructures more efficient, stable and future-proof. The basis is a detailed inventory of all facilities – from substations and catenary sections to depot chargers. These are considered as technical resources, regardless of their historical use, and recombined to build an optimised network design. We assess network expansions, detour and construction scenarios, substation refits and adjustments due to increasing fleet size. The central tool is energy evaluation, showing whether rectifiers, charging points and transformers have sufficient reserves. In addition, we analyse cost and tariff structures to reduce peak loads and lower energy costs. The result: an optimised overall system that safeguards investments, removes bottlenecks and ensures operational reliability.
Solutions that move you forward
Your Benefits
- Optimal reuse of existing assets
- Energy evaluation of all operating scenarios
- Cost reduction through tariff and load management
- Safe operations despite refurbishments and extensions
- Future reserves for increasing fleet sizes
Our Contrubution
Inventory and analysis
Complete inventory of substations, chargers, catenary and sectioning points.
Rebuild from resources
Development of an optimised network design using existing assets.
Energy optimisation
Calculation of energy balances and adjustment of charging and supply sectors.
Technical evaluation
Assessment of voltage stability, power reserves and system load capacity.
Cost and tariff optimisation
Analysis of energy costs, grid load profiles and tariffs to reduce peak loads.
Our Offers
Fleet strategy and technology selection
Comparison of propulsion technologies and concepts to define a sustainable and cost-efficient fleet strategy
Direct comparison of charging systems
Evaluation of charging technologies regarding costs, energy demand, efficiency and future viability
Network planning for e-mobility
Optimization of routes and schedules considering demand, stability, and electrified operations
Sustainability and life cycle assessment
Ecological and economic evaluation via LCA, CO₂ balance and life cycle costs
Vehicle battery system design
Sizing of traction batteries based on energy needs, charging strategy, chemistry and aging models
Vehicle requirements system design
Definition of technical requirements incl. HVAC, driveline and interfaces to charging and operating systems
Intelligent charging algorithms for e-operations
Algorithms for load optimization, peak shaving and battery life extension
Target network planning for charging systems
Simulation and assessment of infrastructure options incl. locations, grid connection and energy balance