AccelerateBattery Development

Expert consulting, testing validation, and infrastructure development for next-generation battery systems

Innovate
Validate
Commercialize

Why Partner With JSiVolt

JSiVolt provides specialized consulting and engineering services focused on battery systems, BMS validation, and electrification power systems. We help companies accelerate development, reduce technical risk, and build robust validation frameworks from early-stage concepts to production readiness.

Our Core Services

Comprehensive battery development solutions designed to accelerate your product roadmap and de-risk complex technical challenges.

Battery Testing & Validation

  • Cell-level electrochemical and performance testing
    • Short term: HPPC, GITT, C-rate, RPT, power/current profile, EIS
    • Long term: regular cycle life, DCFC cycle life, calendar aging
  • Test plan development
  • Test workflow development
  • Test script development
  • Independent validation of supplier data
  • Deep data analysis (reporting, visualization, trend analysis)

BMS Algorithm Development/Validation/Integration

  • BMS algorithm development and validation
    • SOC
    • SOP
    • SOH
    • Thermal
    • Safety
  • Hardware-in-the-loop (HIL) and Software-in-the-loop (SIL) validation strategy
  • Test workflow development
  • Platform and device selection
  • CI/CD workflow development
  • Model development and integration
  • Advanced platform, Battery in the loop development
  • Debugging and root-cause analysis for integration issues

Test Infrastructure Development

  • Lab design and setup
    • Battery testing cyclers, chambers, safety systems, DAQ
  • Hardware-in-the-loop (HIL) platform
  • Vendor selection and technical specification definition
    • Global vendor identification & benchmarking
    • Cost & lead time negotiation
    • Vendor audit & on-site evaluation
  • Scalable test architecture development
  • Legacy lab digitalization & equipment upgrade
  • AI & automation tool development
  • Lab expansion & infrastructure development
  • Local & Cloud-Based Data Pipeline for Automated Testing and Analytics
    • Select and deploy local data infrastructure and automation servers
    • Evaluate and choose cloud vendors and develop scalable cloud solutions
    • Build a fully automated, end-to-end data pipeline
    • Develop a comprehensive testing control and automation framework
  • AI-Powered Workflow and Tools Development
    • Design and develop AI-driven workflows to improve efficiency and automation
    • Integrate AI into data analysis for deeper insights and faster decision-making
    • Build and deploy AI-powered tools tailored to testing and analytics needs
    • Evaluate and select AI tools and solutions based on performance and scalability

Modeling Development and Support & Data Analysis

  • Perform advanced battery performance analysis, including capacity fade, impedance growth, and degradation pathway identification
  • Develop physics-based electrochemical models (P2D)
  • Build equivalent circuit models (ECM) for real-time applications
  • Calibrate and validate models using experimental data (HPPC, GITT, EIS, drive cycles) to ensure accuracy and robustness
  • Extract key parameters (diffusion coefficients, reaction kinetics, resistance components) from test data
  • Support model simplification and reduction (P2D → ECM) for efficient deployment in embedded systems
  • Integrate models into simulation environments for system-level analysis and control strategy development
  • Support cross-functional use cases including BMS algorithm development, validation, and digital twin applications

Program & Technical Advisory

  • Define end-to-end validation strategies for new battery platforms, covering cell, module, and system levels
  • Establish test plans, workflows, and acceptance criteria aligned with performance, safety, and program timelines
  • Conduct supplier technical assessments, including capability evaluation, data quality review, and process benchmarking
  • Perform comparative benchmarking across suppliers to support sourcing and design decisions
  • Identify technical and program risks early (design, testing, supply chain, timeline) and develop mitigation plans
  • Support issue resolution through root cause analysis and data-driven problem solving
  • Enable cross-functional integration across cell, BMS, and system teams to ensure alignment on requirements and validation approaches
  • Facilitate communication between internal teams and external partners to drive efficient execution
  • Cell-level electrochemical and performance testing
    • Short term: HPPC, GITT, C-rate, RPT, power/current profile, EIS
    • Long term: regular cycle life, DCFC cycle life, calendar aging
  • Test plan development
  • Test workflow development
  • Test script development
  • Independent validation of supplier data
  • Deep data analysis (reporting, visualization, trend analysis)
  • BMS algorithm development and validation
    • SOC
    • SOP
    • SOH
    • Thermal
    • Safety
  • Hardware-in-the-loop (HIL) and Software-in-the-loop (SIL) validation strategy
  • Test workflow development
  • Platform and device selection
  • CI/CD workflow development
  • Model development and integration
  • Advanced platform, Battery in the loop development
  • Debugging and root-cause analysis for integration issues
  • Lab design and setup
    • Battery testing cyclers, chambers, safety systems, DAQ
  • Hardware-in-the-loop (HIL) platform
  • Vendor selection and technical specification definition
    • Global vendor identification & benchmarking
    • Cost & lead time negotiation
    • Vendor audit & on-site evaluation
  • Scalable test architecture development
  • Legacy lab digitalization & equipment upgrade
  • AI & automation tool development
  • Lab expansion & infrastructure development
  • Local & Cloud-Based Data Pipeline for Automated Testing and Analytics
    • Select and deploy local data infrastructure and automation servers
    • Evaluate and choose cloud vendors and develop scalable cloud solutions
    • Build a fully automated, end-to-end data pipeline
    • Develop a comprehensive testing control and automation framework
  • AI-Powered Workflow and Tools Development
    • Design and develop AI-driven workflows to improve efficiency and automation
    • Integrate AI into data analysis for deeper insights and faster decision-making
    • Build and deploy AI-powered tools tailored to testing and analytics needs
    • Evaluate and select AI tools and solutions based on performance and scalability
  • Perform advanced battery performance analysis, including capacity fade, impedance growth, and degradation pathway identification
  • Develop physics-based electrochemical models (P2D)
  • Build equivalent circuit models (ECM) for real-time applications
  • Calibrate and validate models using experimental data (HPPC, GITT, EIS, drive cycles) to ensure accuracy and robustness
  • Extract key parameters (diffusion coefficients, reaction kinetics, resistance components) from test data
  • Support model simplification and reduction (P2D → ECM) for efficient deployment in embedded systems
  • Integrate models into simulation environments for system-level analysis and control strategy development
  • Support cross-functional use cases including BMS algorithm development, validation, and digital twin applications
  • Define end-to-end validation strategies for new battery platforms, covering cell, module, and system levels
  • Establish test plans, workflows, and acceptance criteria aligned with performance, safety, and program timelines
  • Conduct supplier technical assessments, including capability evaluation, data quality review, and process benchmarking
  • Perform comparative benchmarking across suppliers to support sourcing and design decisions
  • Identify technical and program risks early (design, testing, supply chain, timeline) and develop mitigation plans
  • Support issue resolution through root cause analysis and data-driven problem solving
  • Enable cross-functional integration across cell, BMS, and system teams to ensure alignment on requirements and validation approaches
  • Facilitate communication between internal teams and external partners to drive efficient execution

Flexible Engagement Models

Choose the partnership model that works for your team and timeline.

Why Teams Choose JSiVolt

We combine deep technical expertise with practical execution to deliver results fast.

  • Deep experience in EV battery systems and validation (0 → 1 lab build)
  • Strong focus on first-principles engineering and data integrity
  • Proven track record in BMS, cell testing, and system integration
  • Ability to move fast in environments where process and infrastructure are still evolving

Who We Serve

From startups to tier-1 suppliers, we support innovation-driven organizations.

  • EV/eVTOL startups and battery companies
  • Tier 1 suppliers and system integrators
  • Research institutions and advanced engineering teams

Ready to Accelerate Your Battery Program?

Let's discuss how JSiVolt can support your development timeline, reduce technical risk, and deliver results.

Start a conversation

Bring clarity to your next battery decision.

Tell us where your program is stuck, scaling, or preparing for validation. We will help map the next practical step.

Email

[email protected]

Phone

(857) 288-8116