EV Cabin Thermal Management Optimization

Objectives
• Develop a realistic EV cabin thermal management Simulink model including HVAC, 2-node cabin, PCM subsystem, and energy accounting.
• Implement HVAC controller (PID), HVAC plant, cabin thermal ODEs, and PCM energy–temperature mapping with melt fraction.
• Ensure all parameters (C_th, R_th, PCM mass, latent heat) are realistic and justified using literature or physics.
• Validate model behaviour: PCM melting/freezing, cabin heating/cooling, HVAC power, energy consumption, and COP.
Requirement
EV Cabin Thermal Management Model – Key Requirements
• Develop a moderate-level Simulink model including HVAC, 2-node cabin, PCM, and energy integrator.
• Implement HVAC Controller (PID with anti-windup) and HVAC Plant with COP, blower limits, and power mapping.
• Cabin thermal model: 2 nodes (air + surfaces) with correct ODEs for heat transfer.
• PCM subsystem: stateful energy–temperature model, melt fraction calculation, and heat exchange with cabin air.
• Logging and plotting: T_cabin, T_pcm, melt fraction, Q_HVAC, P_elec, E_total.
• Parameter realism: C_th, R_th, PCM mass, latent heat, melt temperature must be literature-based.
• Validation tests: Steady-state, step response, PCM melting/freezing, ambient step; realistic temperature, power, and energy values.
• Deliverables: Simulink file, block diagrams, parameter table, MATLAB validation scripts, plots, .mat results, and documentation. 

What you have completed
Component Status Notes
Simulink model Partially HVAC, cabin, PCM blocks likely exist; model runs.
COP calculations Completed Heating and cooling COP reported.
Solar load implementation Completed Midday solar load included.
Logging of some outputs Partially Thermal power, electrical power, energy reported.

What still needs to be completed / fixed
A. PCM Validation
• Current issue: PCM likely unrealistically large → causing extreme HVAC power (7000 kW) and energy (3500 kWh).
• To do:
1. Check PCM mass and latent heat; ensure realistic values (2–10 kg, 100–250 kJ/kg).
2. Run isolated PCM test with small heat input; check:
 Temperature plateau at melt point
 Melt fraction rises 0 → 1 smoothly
 Integrated absorbed energy ≈ m × L
3. Adjust PCM parameters or solver step if behavior is unphysical.
B. Thermal Resistance / Cabin Model Validation
• Current issue: Cabin heats too fast → suggests R_th too low or C_th incorrect.
• To do:
1. Check thermal resistances and capacitances; use literature values.
2. Validate heating/cooling:
 Cabin temperature rise matches realistic EV behavior (~1–2°C/min with ~3–5 kW HVAC).
 Steady-state temperature ≈ P × R.
3. Run step response and ambient step tests to confirm exponential behavior.
C. HVAC Power / Energy Corrections
• Current issue: Peak HVAC = 7000 kW and 30-min energy = 3500 kWh → physically impossible for EV cabin.
• To do:
1. Fix units (W vs kW, Wh vs J).
2. Recalculate HVAC peak power → should be ≤ 7 kW.
3. Recalculate 30-min HVAC energy → realistic range: 0.3–1.0 kWh.
D. Validation Plots & Documentation
• Generate and include:
• T_cabin vs time (steady-state and step response)
• Q_HVAC and P_elec vs time
• T_pcm vs time, melt fraction vs time, Q_pcm vs time
• Compare numerical results with expected physical ranges.
E. Parameter Table & Justification
• Provide values, units, sources, and reasoning for:
• Cabin C_th, R_th
• PCM mass, latent heat, melting temperature
• HVAC max power, COP
F. Simulation Scripts
• Complete MATLAB scripts for automated validation:
• run_steady_state.m
• run_step_response.m
• run_pcm_test.m
• run_ambient_step.m


- R2024b Matlab version
- the work is 90 % done and we need only the above work to be optimized - I have attached the necessary files and code - Required in a day maximum budget is 1500 INR