Battery And Chemical Modelling Engineer

Salary

₹20 - 35 LPA

Min Experience

2 years

Location

Noida

JobType

full-time

About the role

BATTERY & CHEMICAL MODELLING ENGINEER

Are you willing to contribute your skills to have an impact on the planet and accelerate the clean energy transition?

Come join SmartHelio, a Y-Combinator-backed deep-tech company based in Switzerland, USA, and India, recognized as “Best for the world” by B-Corporation Institute for its high contribution to the clean tech & environment.

We accelerate the adoption of clean and sustainable energy in the face of climate change providing state-of-the-art technology to enhance energy market efficiency. We are disrupting the energy sector using Artificial intelligence, Machine Learning, Edge Computing, IoT, and Advanced Climate and System Modelling to help generate more energy from solar/wind farms and make them truly green and sustainable. Kindly visit www.smarthelio.com for more information.

We are venturing into a high-growth phase and looking for new members to join our startup. We are hiring an innovative and highly expert battery engineer/scientist with excellent chemical and energy storage modeling skills/experience.

Basic Qualification

  1. Ph.D. or Masters in Chemical/Energy/Electrical Engineering or Chemistry with a focus on Battery/Chemical Energy Storage, modeling of Chemically Driven Energy Storage Solutions, Polymer Chemistry (Energy systems), or related fields.
  2. In-depth understanding and experience with ionically conducting polymers and their application for energy storage.
  3. Proven expertise in lithium-ion battery design, modeling, and practical application in large-scale grid storage solutions.
  4. Very detailed and comprehensive understanding of practical aspects of battery defects, on-ground failures, and degradation.
  5. Understanding of utility-scale Battery Management Systems (BMS) and their functioning.
  6. Strong command and proven experience in electrochemical modeling (both aspects of chemical science and electrical engineering of storage devices) for energy storage solutions, preferably Li-ion and related battery chemistries.
  7. Excellent data science skills and proven exposure to Machine Learning with Python.
  8. Experience in leading multidisciplinary teams of research scientists and engineers.
  9. Strong project development, management, and delivery skills.

Additional Qualifications

  1. Ability to work in a fast-paced, dynamic environment.
  2. Effective communication skills for interaction with various stakeholders, including board members, partners, and investors.
  3. Familiarity with lithium extraction, separation, recovery, and refining processes is advantageous.
  4. Familiarity with the engineering of various large-scale energy storage solutions (grid-based) and their interaction with renewable energy systems and the grid.

What will we do together?

  1. Engineering Understanding: Gain a thorough understanding of utility-scale batteries integrated with large-scale PV installations and grids. This includes the design, operation, and maintenance aspects of these systems in an optimized and efficient manner.
  2. Battery Chemistry Analysis: Investigate and interpret the battery chemistry and its correlation with current (I), voltage (V), and temperature (T) patterns and trends. This analysis is crucial for identifying battery health and performance.
  3. Pattern Identification: Identify I, V, and T patterns during charging and discharging cycles. Utilize this data to classify battery faults, and issues, and to quantify the state of health and remaining life of the batteries.
  4. Simulation and Digital Twin Development: Develop simulators for utility-scale batteries and create digital twins for real-time application with PV systems.
  5. Model Development: Develop models to analyze battery chemistry and the charging/discharging cycle patterns (I, V, T). These models should be capable of detecting, classifying, and predicting battery faults.
  6. Optimization Models: Create optimization models for battery charging and dispatch schedules. These models should consider solar irradiation predictions, current and future battery health, energy demand, PV system performance, weather and energy demand predictions, and asset value degradation.
  7. Predictive Analytics: Develop models (AI and ML-based) based on available battery and auxiliary system performance data to predict future potential failures and downtime of the storage systems.

About the company

About Us:
Software to detect and predict failures, increase performance up to 10% & optimize O&M interventions costs by 80%.

SmartHelio, based in Switzerland, is an innovative leader in Predictive Solar Analytics, dedicated to improving the health and efficiency of solar plants worldwide. With a focus on sustainable practices and cutting-edge analytics, SmartHelio transforms complex solar data into actionable predictions, driving performance and sustainability in the solar industry.

WHAT WE DO

SmartHelio excels in providing advanced predictive analytics tools that leverage physics-informed AI to deliver real-time predictions of solar plant operations and maintenance. Our solutions are designed to integrate seamlessly with existing infrastructure via API, providing continuous analysis and predictions to ensure peak performance across diverse geographic locales.

Our comprehensive tool suite includes:

Autopilot Predictive Software:

Detect, predict and quantify faults to know when and where to act to prevent downtime in systems and minimize losses.

- (1) Predict component failures such as inverter failure, tracker dysfunction, strings disconnected etc.

- (2) Optimize intervention costs, using our maintenance planner tools such as our Dynamic Cleaning Scheduler or Vegetation Trimming Scheduler.

Climate Risk Assessment forecasting tool:

Forecast realistic GHI and wind resources over the next 25 years, taking into account 100+ different factors such as global climate change, microclimatic events and urbanization.

- (1) Project future cash flows for realistic expected ROI

- (2) Choose the right components to build climate-resilient assets

- (3) Prepare correct yearly O&M budgetisation

One-Time Diagnostics Tool:

 Conduct comprehensive fault analysis and generate detailed health reports for solar plants including breakdown of any faults present or future, using historical data. It assists in identifying and addressing potenti

Skills

Battery modelling
Electrochemical
Energy Storage Optimization
Polymer
Chemistry