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Paper ID:IJSREM65914

The Paradigm Shift in Electric Vehicle Architectures: A Comprehensive Review of Emerging Solid-State Batteries, 800V+ Networks, Silicon Carbide Power Electronics, and Software-Defined Zonal Frameworks

Stream/Area:

-

Subject:

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Paper ID:

IJSREM65914

Volume:

10 |

7 |

Jul 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Prof.Swapnil Dattatray Pawar

Prof.Swapnil Dattatray Pawar

Mechanical Engineering

S B Patil College of Engineering Indapur

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Dhotre Vikramsinh Shivaji

Dhotre Vikramsinh Shivaji

Mechanical Engineering

S.B.Patil College of Engineering Indapur

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Dhanawale Shubham Prakash

Dhanawale Shubham Prakash

Mechanical Engineering

S.B.Patil College of Engineering Indapur

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Abstract

—Electric Vehicle (EV) systems are transitioning through an unprecedented technological evolution, moving away from early-stage iterations that merely hybridized or substituted internal combustion engine (ICE) components. Driven by the imperative for extreme volumetric efficiency, ultra-fast charging capability, and native structural security, modern electrified mobility is being fundamentally rewritten across electrochemical, power-electronic, and computational vectors. This paper provides an exhaustive, rigorous review of the state-of-the-art technological transformations shaping the global EV landscape as of 2026. We systematically dissect the engineering architectures of solid-state batteries (SSBs) featuring sulfide- and oxide-based solid electrolytes, analyze the structural advantages of Cell-to-Chassis (CTC) mechanical integration, and detail the thermodynamic and high-voltage kinetics of 800V/900V operational spines. Furthermore, we evaluate the bandgap physics underpinning Wide-Bandgap (WBG) Silicon Carbide (SiC) Metal-Oxide-Semiconductor Field-Effect Transistors (MOSFETs) and their quantified reduction in dynamic switching losses over conventional Silicon Insulated-Gate Bipolar Transistors (Si IGBTs). On the computational plane, this paper traces the disintegration of legacy distributed Electronic Control Units (ECUs) in favor of centralized Software-Defined Vehicle (SDV) zonal computing paradigms running predictive artificial intelligence loops for real-time multi-system thermal and energy optimization. To validate these assertions, a comprehensive twenty-parameter comparative analysis is conducted against both first-generation EVs and conventional ICE technologies. Finally, we map the systemic engineering bottlenecks—including high-voltage partial discharge propagation, microstructural solid-state interfacial impedance degradation, and functional safety constraints—revisiting the primary research horizons necessary to anchor the next decade of zero-emission transportation infrastructure.

KEYWORDS

Solid-State Batteries Cell-to-Chassis (CTC) Wide-Bandgap Semiconductors Silicon Carbide (SiC) Inverters 800V High-Voltage Infrastructure Software-Defined Vehicles (SDV) Zonal Computing Architecture Predictive Artificial Intelligence.

Cite This Article

Prof.Swapnil Dattatray Pawar, Dhotre Vikramsinh Shivaji, Dhanawale Shubham Prakash, "The Paradigm Shift in Electric Vehicle Architectures: A Comprehensive Review of Emerging Solid-State Batteries, 800V+ Networks, Silicon Carbide Power Electronics, and Software-Defined Zonal Frameworks," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 7, pp. 1-8, Jul 2026.

Full Article/Conclusion

The emerging technologies defining the 2026 electric vehicle ecosystem represent a historical breakthrough in transportation engineering, completely severing the remaining design links to the internal combustion era. The synthesis of solid-state electrochemistries with structural Cell-to-Chassis integration effectively solves the dual historical bottlenecks of energy density ceilings and volatile thermal safety profiles. Concurrently, doubling electrical distribution spines to 800V+ networks powered by high-frequency Silicon Carbide Wide-Bandgap semiconductors compresses charging latencies to match conventional liquid fueling intervals while maximizing dynamic powertrain efficiency. On the computational plane, the virtualization of distributed ECUs into software-defined zonal high-performance computing centers enables predictive artificial intelligence to optimize energy pathways down to the millisecond. While profound technical hurdles remain active research priorities—specifically high-voltage insulation partial discharge degradation, microstructural interfacial impedance delamination, and software cybersecurity vulnerabilities—the systemic superiority of these integrated architectures is undeniable. The modern electric vehicle has successfully evolved from a heavily compromised mechanical appliance into a highly intelligent, hyper-efficient, and structurally unified cyber-physical ecosystem, solidifying its position as the undisputed foundation of global sustainable mobility.

References

[1] X. Wang, Y. Zhang, and L. Functional, "Sulfide-based solid-state electrolytes: Formulations, processing, and lithium dendrite suppression mechanics," IEEE Trans. Energy Convers., vol. 41, no. 1, pp. 204–218, Jan. 2024. [2] H. Kim and M. Miller, "Cell-to-chassis structural battery integration: Quantifying vehicle torsional rigidity and aerodynamic optimization," SAE Int. J. Electrified Veh., vol. 15, no. 2, pp. 142–156, May 2025. [3] J. Zhao, D. Lopez, and S. Dynamic, "Thermodynamic and current-density kinetics of 800V and 900V high-voltage EV architectures," IEEE Transactions on Transportation Electrification, vol. 11, no. 3, pp. 1022–1035, Sep. 2024. [4] R. Systems, Wide-Bandgap Semiconductors for Electric Vehicle Inverters: Physics, Switching Dynamics, and SiC Adaptations, New York: IEEE Press, 2025. [5] L. Fernandez and G. Rossi, "Silicon Carbide (SiC) MOSFET switching optimization and dynamic loss reduction profiles," IEEE Power Electron. Mag., vol. 12, no. 2, pp. 34–43, Jun. 2025. [6] T. Smith, "Deconstructing the distributed automotive ECU: Transitioning to software-defined zonal architectures," Automotive Computing Review, vol. 28, pp. 45–59, Mar. 2024. [7] K. Takahashi and B. Johnson, "Predictive artificial intelligence neural networks for real-time vehicular heat-pump and thermal loop management," Journal of Power Sources, vol. 598, p. 234102, Feb. 2025. [8] International Energy Agency (IEA), "Global EV Technology Outlook 2025: Mapping solid-state scaling," IEA Research Document, Paris, 2025. [9] ISO 26262-5:2018, "Road vehicles — Functional safety — Part 5: Product development at the hardware level," International Organization for Standardization, Geneva, 2018. [10] O. Schindler, "Partial discharge nucleation and insulation breakdown mechanisms in 800V traction motors under high dv/dt switching," IEEE Trans. Dielectr. Electr. Insul., vol. 32, no. 4, pp. 1102–1115, Aug. 2024.

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7/10/2026

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