Electric Vehicles (EV) are embedded with increased software algorithms coupled with several physical systems. It demands the efficacy of components which are linked together to build a system. The digital models reviewed in this paper are at system-level and full vehicle-level, comprising many components and control design, analysis, and optimization. Systems pertaining to each functionality such as, A/C (Air Conditioning) loop, E-Powertrain (Electric Powertrain), HEVC (Hybrid Electric Vehicle Controller), Cooling system, Battery Management System (BMS), Vehicle control system etc. together make an ‘Integrated Digital Vehicle.’ Fidelity of Intersystem co-simulation [AMESIM + SIMULINK] is key to validating thermal and energy strategies. This paper elucidates the correlation of Digital Vehicle compared to Test for Thermal Strategy in different driving scenarios and Energy management. Validation of Digital vehicle with 52kWh, 40kWh High Voltage Battery for Intercity Travel of Customer usage -5°C and Traffic Jam with ERP for Cold condition of 9°C). Also, to evaluate range prediction, autonomy, Energy balance to meet Thermal comfort (based on PTC & Compressor activation strategy). In precedence, we validate the Pre-conditioning strategy of battery to reach optimal temperature for efficient charging and link with navigation system. Thermal validation also encompasses the Heat Recovery from Electric motor loop to Battery loop across dynamic drive-cycles and under a range of weather conditions. Digital Vehicle entails a System level correlation to ascertain the robustness SOC: ±2%, HVBAT: ±3°C accuracy, Energy Balancing, Charging Efficiency and furthermore.